After successfully completing their studies at STOR-i, these alumni are now working in a diverse range of areas across academic and industry.
Here you can find details of the STOR-i Alumni who completed their studies in 2018, including information about what they're up to now.
Upon completing my PhD in 2017, I started my post as a Senior Research Associate in Medical and Pharmaceutical Statistics at Lancaster University. My research is funded by Janssen Pharmaceutica, who was the industrial partner for my PhD with STOR-i. I am working closely with Janssen on the topic of dichotomisation of continuous biomarkers, a very interesting and relevant subject in the area of personalised medicine.
My PhD looked at methods to efficiently perform inference for changepoint models in high-dimensional time series. It was industrially sponsored by British Telecom and I was supervised by Idris Eckley and Paul Fearnhead from Lancaster and Martin Spott from BT.
I now work as a Statistician at an educational consultancy company, AlphaPlus consultancy.
I completed my PhD at STOR-i in 2018 under the supervision of Prof. Peter Neal and Prof. Idris Eckley with sponsorship from Ralph Mansson at the Defense Science and Technology Laboratory (DSTL). My PhD thesis, titled "The autoregressive stochastic block model with changes in structure", looked at statistical models for network data collected through time. Specifically, models to detect if the group structure within the network had changed. I now work as a senior research associate with Dr Chris Sherlock on the EPSRC project "New developments in non-reversible Markov chain Monte Carlo" (EP/P033075/1). Traditional reversible MCMC aims to draw samples from a target distribution by simulating a Markov chain whose stationary distribution is the target. One downside to reversible algorithms is that they lose a sense of direction in regions where the target is flat. This leads to a slow exploration. Conversely, non-reversible methods keep a sense of direction. Current methods have great potential but practical problems limit their usability. My research currently aims at creating new non-reversible algorithms that are more efficient than standard MCMC and can be applied to real problems with ease. Link to my website: www.lancaster.ac.uk/~ludkinm
I completed my PhD in 2018 under the supervision of Jonathan Tawn, Simon Brown (Met Office) and Hugo Winter (EDF Energy). My PhD research focused on developing multivariate methods for modelling extratropical cyclones that incorporated the meteorology of these weather systems. Since leaving STOR-i, I became a statistician at JBA Consulting as part of the Flood Risk Science team, where I work with a group of specialists from the physical sciences to model impacts arising from coastal, river and weather extremes. This has allowed me to continue research into extreme value statistics, and explore new and exciting environmental applications that could benefit from this methodology.
Here you can find details of the STOR-i Alumni who completed their studies in 2017, including information about what they're up to now.
Since completing my PhD in 2015 I have tried my hand at both industry and academia. Initially, I worked as a Data Scientist at dunnhumby (the company behind the Tesco Clubcard) in the Price and Promotions Science team. Projects centred around demand models for retail. These effectively involve understanding customers’ responses to changes in the key levers over which the retailer has control, such as their sensitivity to price change, promotion and display location in the store.
I have since moved back to academia and now work as a postdoc at the University of Reading. The project involves modelling network data as an exponential random graph model (ERGM) and performing Bayesian inference, using Monte Carlo methods such as MCMC and SMC. Inference for ERGMs is infeasible for all but small networks – the project’s focus is on improving inference for larger networks.
Since completing my PhD thesis, I have been working as a data scientist at Arctic Shores, a company which develops game-based psychometric assessments. Before working at Arctic Shores, I hadn't studied psychology at all, now I work with psychologists, game developers and graphic artists on a daily basis. One of the things I love about statistics is how interdisciplinary it is. I get to learn something new every day.
The media training which I received at STOR-i has been invaluable in the development of my statistical communication skills and I have recently been appointed a statistical ambassador for the Royal Statistical Society. This voluntary role involves engaging with journalists and members of the public to help them understand everyday statistical concepts. Recently, I was consulted by Panorama to advise on their analysis of drunken behaviour at airports for their documentary "Plane Drunk".
Before joining STOR-i I studied Mathematics at the Open University and an MSc in Management Science and Operational Research at Lancaster.
My PhD was on Bayesian sequential decision problems and the multi-armed bandit. These problems involve taking actions in sequence under uncertainty where outcomes resulting from actions gives information that can help in future decisions. This creates the need to trade-off exploration, to learn for the long term, against exploitation of current knowledge for good results in the short term. Part of this work was sponsored by Google and concerned the problem of choosing multiple website elements to display to a user.
After finishing I continued research in this area as a senior research associate at Lancaster on a project with a commercial partner on adaptive pricing.
After STOR-i I joined Summit as a data scientist in their Insight Team, working on the online bid optimisation and budget planning platform, Forecaster. I quickly moved into a consultancy role, working with some of the UK's largest retail companies, helping to optimise marketing strategies and provide customer insights driven by statistical modelling and machine learning. I am now (2019) the lead data scientist across all of Summit’s data functions and working within a new product area: demand planning for retail giants across the world, using our newly developed platform Purchase Predictor. The platform employs time series forecasting, clustering, natural language processing, changepoint techniques and more to identify key opportunities for profit.
STOR-i gave me the means to interrogate academic research and understand the concepts within. The industry-led workshops which I attended through STOR-i (with the likes of Shell and BT) were invaluable in developing great consultancy and leadership skills.
I completed my PhD thesis on "Detecting Abrupt Changes in Big Data" in December 2016, supervised by Idris Eckley and Paul Fearnhead. During the final 3 months of my PhD, I worked part-time as a Data Scientist at Sporting Data Science looking at modelling outcomes of cricket and football matches. On completing my PhD I joined Sporting Data Science full time. In April 2017 I started working at Peak at a Data Scientist. Peak is a pioneering Artificial Intelligence-as-a-Service company that helps businesses of all sizes do great things with data. At Peak, I get involved in lots of different Data Science problems for various companies across the retail and industry sectors. In January 2018 I was promoted to Team Leader of the forecasting and optimisation team which has brought lots of fun and exciting challenges.
My PhD, which I completed in 2015, was supervised by Nicos Pavlidis and Idris Eckley and looked at dimension reduction techniques for clustering and semi-supervised classification applications.
After submitting my thesis I took up a position as a post-doctoral research associate within STOR-i, where I continue to work with Nicos Pavlidis. The work done in this position will look at extensions of the work done during my PhD to very high dimensional problems which arise in the modern context of "Big Data", and with particular attention to applications in bioinformatics.
My PhD was supervised by Jonathan Tawn and Philip Jonathan, and it looked at spatial extreme value modelling of oceanographic data. Since completing my PhD, I have been working as a statistician at JBA Risk Management. In this role, I have had the opportunity to continue using extreme value statistics to develop models for flood and other natural hazards.
I joined the STOR-i CDT as an MRes student in 2012 upon completion of my studies at the University of Heidelberg. I completed my PhD at the STOR-i CDT under the supervision of Deborah Costain, Jonathan Tawn and Emma Eastoe from Lancaster University, and Arnoldo Frigessi from the University of Oslo. My PhD considered the association between property insurance claims and weather events in Norway. I was awarded the EPSRC Doctoral Prize of the Faculty of Science and Technology in September 2016. As part of this award, I was appointed Research Associate at the Department of Mathematics and Statistics at Lancaster University. In November 2017, I was awarded a 2-year post-doctoral research grant by the AXA Research Fund and continued my work at Lancaster University. My research project considers the association between small-scale weather events and property insurance claims and aims to extend my PhD research.
Graduated in 2017
Graduated in 2017
I completed my PhD on “Inference and Decision Making in Large Weakly Dependent Graphical Models” in 2017. During that time, I did an internship at a chemical speciality company called Lubrizol.
Since finishing, I have been working as a Data Scientist at Lubrizol full time. I mainly work within the Engine Oil Additives segment of the company, developing optimisation and analytical tools that are used to speed up the product development process.
Here you can find details of the STOR-i Alumni who completed their studies in 2016, including information about what they're up to now.
After joining STOR-i in October 2010, I undertook a PhD in the area in the are scenario generation, a problem concerned with the representation of uncertainty in decision-making problems for which I was jointly supervised by Amanda Turner and Stein Wallace. During my PhD, I completed an internship at BT relating to the calculation of maximum transmission powers of certain radio devices. Since completing my PhD in November 2015, I have taken up the position of research associate and am working on a problem in combinatorial optimization, motivated by a problem in telecommunications.
Before I started studying at STOR-i, I had completed a Masters degree in Mathematics and was working in the engineering sector.
My PhD was industrially sponsored by ATASS Sports, and concerned how to optimally exploit profitable betting opportunities, which arise when betting on sports, and was co-supervised by Jon Tawn, Chris Kirkbride, and Kevin Glazebrook.
Since completing my PhD, I have been working as a data scientist for Featurespace, a small company based in Cambridge who specialises in building adaptive behavioural analytic models, which are used to catch fraud in financial services, insurance and gaming.
Before I started studying at STOR-i, I had completed an undergraduate Mathematics degree and was working in the civil service.
My PhD was co-supervised by Kevin Glazebrook in conjunction with Kyle Lin from the US Naval Postgraduate School. This research explored the task of identifying defensive surveillance policies that can mitigate the threats faced by adversaries in a public setting. For example, consider a surveillance resource responsible for a number of public areas, each of which is a potential target for an adversary. How should the resource be controlled given that the adversary can strike at any time in amongst any of the randomly evolving public crowds?
Since completing my PhD I have been undertaking PGCE training to become a mathematics teacher.
Before joining STOR-i, I completed my MSci in Mathematics and Statistics at Lancaster University with one year studying abroad at UC Berkeley. I then went on to complete my MRes and PhD at STOR-i with Roberto Szetchman acting as co-supervisor. Kevin Glazebrook and Chris Kirkbride completed my supervisory team.
The project itself was concerned with modelling intelligence gathering processes in the military using Bayesian multi-armed bandit models. The formulation of a timed-limited and mission-critical investigation as a stochastic dynamic programming problem allows for solutions whereby intelligence operatives can efficiently search for crucial information before it becomes outdated.
I now work as a data scientist in the games industry, and currently, work for Sega Hardlight.
I completed my PhD at STOR-i in 2016 on “Efficient Analysis of Complex Changepoint Problems” under the supervision of Professors Paul Fearnhead and Adam Letchford. Since submitting my thesis I have been working as a Research Associate at the University of Manchester. My work in Manchester centres on developing and applying computational statistical methods to biomedical data, principally in the field of circadian biology. Working hand in hand with wet-lab scientists, we are able to exploit statistical and machine learning methods to explore the inner workings of the molecular clock and its links to disease and inflammation.
Graduated in 2016
My PhD research investigated 'Changepoint Detection for Acoustic Sensing Signals' in collaboration with Shell Research, under the supervision of Idris Eckley, Rebecca Killick and Philip Jonathan. After completing my PhD, I worked as a data scientist in the Pricing and Promotions Science team at Dunnhumby, a customer data science company. This involved developing and supporting the science behind a suite of price and promotions optimisation tools for the retail sector. In January 2018, I started working as a Research Scientist on the Research and Applied Data Science team at Kalibrate, who offer industry-leading fuel pricing and network planning software to fuel and convenience retailers globally. My role involves researching and developing novel approaches to modelling sales demand at fuel stations using machine learning, deep learning and other cutting-edge AI techniques.
Since completing my PhD thesis, I have been working as a research engineer within the EDF Energy UK R&D Centre in London. I am working within the natural hazards team and have taken the lead on the programmes concerning extreme weather, coastal flooding and hazard combinations.
As part of this job I undertake my own research in the aforementioned areas and also collaborate with many different universities across the UK and around the world. The position requires an in-depth knowledge of extreme value statistics and climate science which I developed during my PhD within STOR-i.
Here you can find details of the STOR-i Alumni who completed their studies in 2015, including information about what they're up to now.
Pedro Crespo del Granado
Prior to coming to Lancaster, I had academic experiences at undergraduate and masters levels in the United States, France, Switzerland, Bolivia and China. I also worked briefly as a data scientist at the IADB bank. In Lancaster, I was a STOR-i associate PhD student under the supervision of Stein Wallace and Zhan Pang. My PhD thesis entitled “The value of end-user energy storage from intermittent renewables: an end-user perspective in Smart Grids” applied optimization modelling and stochastic programming methods to analyse various real-life case studies (energy systems of houses and communities).
After finishing my PhD in 2014 I have been a post-doc in the Energy Science Center at ETH Zurich. My project builds naturally on my PhD training as I am working in the area of integrated modelling of energy systems.
Gwern obtained his MRes in Statistics and Operational Research in 2014. He then started a PhD in the area of statistical modelling, specifically looking at models for low-count time-series, supervised by Nikos Kourentzes and Peter Neal.
It was with great sadness that we received the news that Gwern died from leukaemia in October 2015. Gwern is greatly missed by STOR-i students and staff.
Gwern Owain Bursary Scheme: In recognition of Gwern’s happy experiences in STOR-i, his family (Robin, Eirian and Erin) has very generously offered STOR-i substantial funding in Gwern’s name. Find out more about the Gwern Owain Bursary Scheme.
I completed my PhD, supervised by Idris Eckley and partnership with Unilever, in November 2014.
Soon after completing my thesis I started a career in industry with Shell Global Solutions. This job has allowed me to apply statistical methods to a wide range of applied problems in the oil and gas industry.
I have also been able to keep up my academic links by publishing papers, attending academic conferences and helping to supervise PhD students.
I started studying at Lancaster University in 2006 and obtained an undergraduate degree in Financial Mathematics, subsequently, I continued to study an MSc in Statistics. These courses inspired me to further my studies, with my interest in lying in Environmental Statistics. As a result, I then undertook a PhD entitled: ' Modelling the extreme wave climate of the North Sea', which was supervised by Jonathan Tawn and Emma Eastoe (Lancaster), as well as Philip Jonathan and Nicolas Fournier (Shell).
During my PhD studies, I also completed a NERC PURE internship with the JBA Trust, which focussed on modelling the short-term clustering of flood events.
Since completing my PhD, I have been working as a Knowledge Transfer Partnership (KTP) Associate. The KTP is a joint appointment between Lancaster University and JBA Consulting, with the aim of developing statistical models that are able to produce spatially and temporally realistic flood event footprints.
Here you can find details of the STOR-i Alumni who completed their studies in 2014, including information about what they're up to now.
Before starting my PhD at Lancaster, I completed my undergraduate degree in Computer Science and Mathematics at the University of York.
My PhD focuses on revenue optimisation strategies for passenger rail services.
Alex is currently completing his thesis part-time whilst working at Morgan Stanley in their Prime Services and Funding division.
Saeideh Dehghan Nasiri
I came to STOR-i after completing an MSc Operational Research at Lancaster University. My PhD was supervised by Adam Letchford and focused on problems linked to optimising vehicle routing on real road networks.
I completed my PhD project in 2014 with the quality of work being recognised by me being awarded the Kingsman Prize for 2015.
After my PhD, I then went to work for a local start-up company.
I completed an MRes in Statistics and Operational Research at Lancaster University in September 2014.
My dissertation was titled 'Interfacing Multivariate Extreme with Multivariate Statistics' and supervised by Professor Jonathan Tawn.
I am currently working at Moodys Analytics in Edinburgh in the B&H division as a Modelling Operations Analyst. This involves calibrating stochastic models (e.g. interest rate models, equity models) as well as developing internal processes and quality assurance routines to help automate the production of high-quality content services.
I began my studies at Lancaster University in 2006 when I studied for my undergraduate degree in Mathematics. I fell in love with both Lancaster and statistics and decided to stay on to complete my PhD. My research focused on the short term prediction of wind speeds, in particular using dynamic linear models for prediction, and logistic regression for in-depth analysis of rapid wind speed changes.
Since the completion of my thesis, I have moved to Hertfordshire, and I now work in a games studio, Exient Ltd. We have recently released 'Angry Birds Go!' and will soon be releasing many more huge titles to the mobile market. I work as a data scientist/game analyst - I collect data from players to analyse the way in which they play and spend, and to optimise future improvements to our games. I get to be involved in the design, development and analysis of our games, with my work ranging from reporting on how our games are performing, to designing and balancing new levels.
I completed my PhD at the STOR-i CDT in 2014 under the supervision of Professor Paul Fearnhead. My PhD was industrially sponsored by MBDA and focused on parameter estimation for nonlinear state-space models with applications to target tracking.
After completing my PhD I was a STOR-i Impact Fellow before beginning my current role as a lecturer in Statistical Learning in the Department of Mathematics and Statistics. I research problems related to Bayesian inference. In particular, Gaussian processes, Markov chain Monte Carlo algorithms and sequential Monte Carlo, with a focus on applications around intractable likelihood problems and big data scenarios.
Here you can find details of the STOR-i Alumni who completed their studies in 2013, including information about what they're up to now.
Soon after completing his PhD in Management Science, Devon took up a PostDoctoral Research position within the Lancaster Centre for Forecasting. During that time he conducted research into forecasting with statistical methods and artificial neural networks, while managing several applied research projects in the areas of call centre, electric load and demand forecasting. He also delivered on academic and practitioner training courses in forecasting offered through the Forecasting Centre, and presented at leading international conferences including International Symposium on Forecasting (ISF) and European Conference on Operational Research, both in 2013. Devon currently works as a Lecturer with the Strategy and Applied Management Department at Coventry Business School and serves as Course Director for the MSc in Global Distribution Management. In addition, he continues to remain research active, with publications in, and several ongoing projects aimed at leading international journals.
The main objective of my PhD research is the classification of non-stationary time series, using wavelets. The new methods which I develop during my PhD will be used by Unilever to classify signals arising from a variety of applications. Karolina is now working at Perceptive Engineering.
I hold an undergraduate degree in Mathematics and an MPhil degree in Statistics from the University of Cambridge. My PhD, supervised by Jonathan Tawn, focuses on extreme value theory with application to the analysis of financial data in collaboration with Man Investments. Ye is now working for JBA Risk as Head of Catastrophe Modelling.
I completed my BSc in Statistics and Actuarial Science at the University of Piraeus in Greece. In 2009 I completed an MSc in Statistics at Lancaster University which included a dissertation titled 'A Multivariate Extreme Value Analysis on Financial Data'.My doctoral research, in collaboration with Astrazeneca, focuses on exploring safety issues that arise in clinical studies and pharmaceutical experiments. My supervisors are Jonathan Tawn and Emma Eastoe. After my PhD, I was awarded a Bristol Brunel Fellowship and in 2014 was appointed as a Chancellor's Fellow at Edinburgh.
I completed my PhD in the Management Science Department at the Lancaster University Management School. My research involved the operations of retailers, specifically applying multi-armed bandit models and Bayesian learning schemes to find better decision policies for assortment optimization. Jochen is now pursuing a career in industry.
I spent an enjoyable 7 years at Lancaster, 3 studying for my undergraduate degree in Mathematics followed by a PhD in Wavelets working alongside Idris Eckley (Lancaster) and Rob Treloar and Eric Mehers (Unilever). Since completing my PhD I moved to Nottingham and now work for Boots UK at the Head office as a Data Scientist. Within my role, I am responsible for helping influence business decisions and increasing customer engagement through innovative analysis and insight. Using the Advantage Card data and other sources, I use predictive analytical techniques to understand our customers, recommend solutions for customer loyalty, business initiatives and value drivers through personalised communications.
The MRes at STOR-i gave me the opportunity to complete an in-depth study in a variety of statistics and operational research topics. Thanks to the data mining knowledge acquired I am currently working as a credit risk analyst, developing risk models for a consulting company in Milan.
I completed a BSc in Finance at South-Western University of Finance and Economics in China, followed by an MSc in Operational Research at Edinburgh University before starting a PhD at Lancaster University. My PhD research focused on investigating robust optimal solutions for stochastic integer problems, using exact methods for small size problems and developing heuristic methods for large scale problems. My supervisor was Professor Stein W Wallace. Since completing her PhD in January 2014, Yifei has been working as an analyst for Zurich Insurance.
Here you can find details of the STOR-i Alumni who completed their studies in 2012, including information about what they're up to now.
I started my undergraduate degree (BSc) in Mathematics and Statistics at Lancaster University in 2004 and followed this with an MSc in Medical Statistics, again here at Lancaster. I then started a PhD entitled Novel methods for changepoint problems supervised by Idris Eckley (Lancaster) and Philip Jonathan (Shell) in October 2008.
I completed my PhD in early 2012, then was a Senior Research Associate before taking up a lectureship in Statistics at Lancaster University in 2013.
I previously completed my undergraduate degree in Financial Mathematics at Lancaster.
Between my BSc and MRes courses, I completed a placement with Shell within their Statistics & Chemometrics team based near Chester.
I completed the MRes in Statistics and Operational Research at STOR-i in 2011.
Dan is now pursuing a teaching career.
At undergraduate level I studied Mathematics at the University of Durham, followed by an MSc in Statistics at Lancaster. In the summer between graduating and coming to Lancaster, I completed an internship with the Statistics and Chemometrics group at Shell. My PhD, in collaboration with Shell,
focused on extreme value theory, creating new methodologies in univariate, multivariate and spatial extremes. My supervisors were Jonathan Tawn, with Phil Jonathan at Shell acting as my industrial supervisor.
After her PhD, Jenny was a Postdoctoral Research Associate at École Polytechnique Fédérale de Lausanne, Switzerland and held a Fellowship at Cambridge University, before returning to Lancaster University in 2015 as a Statistics lecturer.
Here you can find details of the STOR-i Alumni who completed their studies in 2011, including information about what they're up to now.
I completed my undergraduate degree in Mathematics at Lancaster University and I've recently completed my MRes in Statistics and Operational Research at STOR-i in 2011.
I'm now working as a Graduate Analyst at Adelphi International Research- a global market research company based in Manchester dealing with the pharmaceutical market.
National Associates Network
STOR-i have created a national associates scheme to provide a network of cooperation amongst PhD students working in Statistics and Operational Research.
Current National Associates
Emma Aspland, Cardiff University
I studied Mathematics at the University of the West of England at undergraduate level, followed by MSc Mathematics and Computing for Finance at Swansea University, receiving the highest level award at both. I am currently a PhD student at Cardiff University focussing on Operational Research in Healthcare. My project is in collaboration with Velindre Cancer Centre, and has the overall goal to improve patient care and outcomes by reducing time to diagnosis and treatment times for those with cancer. The research will focus on clinical pathways, from discovering and investigating to improving the pathway of a particular cancer site, using techniques such as simulation and modelling.
Marion Chatfield, University of Southampton
I studied Mathematics at the University of Cambridge at undergraduate level, followed by an MSc in Applied Statistics from the University of Southampton. After many years of applying statistics in the pharmaceutical industry (latterly applying statistics in chemistry and formulation areas), I am combining working part-time for GSK with working for a PhD part-time with the University of Southampton (supported by GSK). My PhD research topic is " Assessing Analytical Method Performance - with a focus on statistical aspects of estimating precision" and my academic supervisor is Professor Steven Gilmour, King's College, University of London.
Hajem Daham, University of Essex
I graduated from the University of Alqadisyah, and completed my master degree in OR from the University of Baghdad in Iraq. Before I came to the UK, I worked as assistant lecture at the University of Al Muthanna in Iraq.
I am currently a PhD student in Operational Research at the department of Mathematical Science, University of Essex. My supervisor is Dr. Xinan Yang. My project research is focusing on investigating the optimal models to make decisions for the inland haulage delivery of containers. Inland transportation is an important part of containers import and export business. It is harder to manage than ocean shipping as it normally gets more conveyors and parties involved, and it has a significant portion of the total transportation cost. So, we will search for a better management strategies. Our industrial partner is the Port of Felixstowe.
Marios Dominikos Kremantzis, University of Southampton
I studied Business Administration at University of Macedonia in Greece at undergraduate level, followed by an M.Sc. in Management Science and Operational Research (Business Analytics) at Lancaster University, which is one of the top 10 UK universities and globally renowned.
I am currently a Ph.D. student in University of Southampton (UK), in the field of Management Science and Optimization. I am supervised by both Prof. Julia Bennell and Dr. Jonathan Klein at Southampton Business School. We are working in a 4-year industrial case project with BAE company (one of the largest defence contractors in UK), regarding the optimization of maintenance processes of a certain type of vessel.
Johannes Hansen, University of Edinburgh
I am currently a first year PhD student at the University of Edinburgh, having graduated with a BSc in Physics from Jacobs University Bremen and an MPhil in Scientific Computing from the University of Cambridge. My research is focused on the automatic detection of deforestation and forest degradation events from time series of geospatial (satellite) data. Challenges include the large amount of data, the fusion of different data variables (radar, lidar, optical, field measurements) each available at different spatial and temporal resolutions, the lack of reference data, and an accurate error assessment.
Chul Jang, City University of London
As a Ph.D. candidate in actuarial science at Cass Business School, I am studying multi-stage stochastic programming applications on optimal investment, consumption, and insurance choices. The insurance products include term life, variable annuities, deferred annuities, and equity release, but not limited to them. My research is funded by Korea Life Insurance Association. I have B.S. in Industrial Engineering at Hanyang University, M.B.A. at KAIST, and M.S. in Actuarial Science at Cass Business School. In-between the academic degrees, I worked as a pricing actuary and researcher for a life insurance company, LINA - a Korean branch of CIGNA, a government-owned research centre, KIHASA, and a private research centre, Mirae Retirement Research Centre.
Thomas Lugrin, Swiss Federal Institute of Technology
I studied Mathematics at the Swiss Federal Institute of Technology in Lausanne (EPFL) where I completed my MSc in Mathematical Engineering.
My current research focuses on modelling dependence of rare events, and typical applications involve environmental and financial data. I am supervised by both Prof. A. C. Davison at EPFL and Prof. J. A. Tawn at Lancaster University.
Ben Norwood, Lancaster University
Following completion of an MSci in Mathematics & Statistics at Lancaster University I have continued to study for a PhD with supervision from Rebecca Killick. The focus of the project is to develop new methods for detecting changes in seasonal behaviour in official statistics. This work is in collaboration with Duncan Elliott from the Office of National Statistics.
During my undergraduate I aimed to combine both my passion for mathematics and my keen interest in computer science. I found that computational statistics best allowed me to combine both skill sets and as such have focused on that area since my third year. This lead me to a project on classification of time series during my Master's year with Rebecca and continues into my PhD.
Asbjørn Nilsen Riseth, University of Oxford
I’m doing a PhD at Oxford University as part of their CDT in Industrially Focused Mathematical Modelling. I grew up in Oslo, Norway, and spent much time outside cross-country skiing in the winter and running during the summer. After finishing college I served 12 months in the Norwegian Royal Guard, before starting my MMATH at the University of Warwick.
During the summers of my undergraduate, I worked for the Norwegian energy companies Hafslund and Statoil, dealing with district heating and petroleum. It has been a motivation to see how mathematics is applied in industry, especially how to deal with uncertainty in models and observations. My current research is about optimisation under uncertainty, focusing on price-management in the retail industry. This work is in collaboration with Dunhumby.
Kate Pyper, University of Strathclyde
I graduated with an MSci in Statistics from the University of Glasgow. While undertaking this degree I took part in a year-long internship as part of the product research and development team at Moody’s Analytics based in Edinburgh.
In the final year of my undergraduate degree, I found an interest in epidemiology and public health statistics. I am now undertaking a PhD at the University of Strathclyde, in collaboration with the National Poisons Information service, which is part of the NHS. I have so far investigated how use of the NPIS online database TOXBASE has varied since 2008, and am now in the process of linking this data with hospital level admissions data to determine the impact of TOXBASE on patient treatment.
Chris Sherfield, University of Bristol
I am currently a 2nd year PhD student at the University of Bristol in the Cryptography department. I received my MSci in Mathematics from University College London studying a range of topics including Probability, Computation and Abstract algebra. My current area of research is applying game theory to cryptographic threat mitigation, setting up 2 player games in order to formulate how best for a player to defend their resources. This work is in collaboration with GCHQ.
Steven Soutar, University of Edinburgh
I graduated with a MMath in Mathematics from the University of St Andrews. Four years later I returned to St Andrews to complete an MSc in applied statistics and data mining. My research interests include Bayesian inference, medical statistics, and computational statistics. My research project concerns developing statistical methods for biomarker data analysis, to aid in early detection of hepatocellular carcinoma (HCC) a form of liver cancer. The methods employed in this project are mostly Bayesian in nature.
Mark Tuson, Cardiff University
As a mature student my previous work experience encompasses time spent in the armed forces, the private sector and more recently the public sector. Having recently completed a part-time MSc with Cardiff in Applied Statistics and Operational Research, I took the opportunity to move on to do a (full-time) PhD also with Cardiff University. Partially funded by a local Health Board, my area of interest is exploring the impact of social networks on health issues, in particular obesity.
Michail Vamvakaris, University of Liverpool
Having a bachelor degree in Economics from the Aristotle University of Thessaloniki, did not prevent me from following more quantitatively oriented post-graduate studies. I hold a Master of Science in “Complex Systems and Networks” from the department of Mathematics of the aforementioned institute, and later I was awarded with a Master of Research in “Decision making under risk and uncertainty” from the University of Liverpool, in the context of my post-graduate studies as member of the Center for Doctoral Training in Risk and Uncertainty.
Having successfully completed the first year of my PhD studies in the field of Econo-Physics in the Department of Mathematics in the University of Liverpool, I withdraw from the PhD program in order to continue my studies in the University of Manchester, department of Computer Science in particular.
My current project combines network theory, machine learning and portfolio theory attempting to create a better algorithm for efficient portfolio construction.
Emily Williams, Cardiff University
I am currently a PhD student in Operational Research in Healthcare at Cardiff University, after graduating with a BSc in Mathematics, also at Cardiff University. My PhD project is in collaboration with the Welsh Blood Service to support the redesign of the blood supply chain system. The aim of my research is to improve the efficiency and effectiveness of the blood collection process, minimising both waiting times for donors, and wastage in the system. My project focusses on queueing theory, staff scheduling and clinic location planning, using methods such as simulation and mathematical programming.
Yanyun Wu, Shell Statistics & Chemometrics Group
I studied Mathematics & Statistics at University College Dublin at undergraduate level, followed by an MPhil degree in Statistics from the University of Cambridge. My PhD research topic is extreme value theory with application to environmental data. My academic supervisors are Jonathan Tawn and Emma Eastoe. Phil Jonathan at Shell is my industrial supervisor.
Fulin Xie, University of Southampton
Following completion of a MSc in operational research at the University of Southampton I have continued a PhD under supervision of Chris Potts and Tolga Bektas. My current research focuses on developing static and dynamic methods for workforce scheduling and routing problems in emergency response services. The project runs in collaboration with the AA (Automobile Association), which is the largest breakdown cover organisation in the UK.