MRes Students

Our enthusiastic team of STOR-i students have joined us from a variety of locations and academic backgrounds. All of our students have a commitment to playing an active role in the dynamic learning environment in the STOR-i CDT. Here you can find information about current STOR-i students including their academic background and research interests.

Aaditya Bhardwaj Student

Aaditya Bhardwaj

I have completed mathematics under-graduate degree from Fergusson College, Pune. In addition, I am holding an MS degree in Quality Management Science offered by Statistical Quality Control and Operations Research Unit, Indian Statistical Institute. During my Masters’ program, I have worked with TVS Motors, a flagship two-wheeler manufacturer and Baker Hughes, an Oil and Gas company owned by General Electric. Most of the jobs, during my internships, were related to two-dimensional reliability modelling, multi-response optimisation, six-sigma techniques, and text mining. These internships have enhanced my analytical skills as well as extended my interest in the field of Statistics/ Operational Research based complex projects. Furthermore, it has heavily encouraged me to join STOR-i CDT at Lancaster University.

Libby Daniells

I graduated from Lancaster University in 2019 with an MSci in Mathematics, having studied a variety of topics in both pure mathematics and statistics. Whilst at Lancaster I participated in the study abroad scheme, spending my third year at the University of British Columbia in Vancouver, Canada. In my final year as an undergraduate I focused my studies solely on statistics, undertaking a dissertation titled “Simultaneous inference in clinical trials”, which focused on the construction of simultaneous confidence intervals for treatment effects. This helped me make the decision to continue in research and pursue a PhD. I found out about the STOR-i programme through careers lectures during my undergrad and it seemed like the perfect fit for me. In the MRes year I look forward to further developing my research skills and applying what I’ve learned so far to real world situations.

Libby Daniells Student

Eleanor D'Arcy

I graduated from Lancaster University in July 2019 with a BSc in Mathematics and Statistics. During my undergraduate degree I studied modules in both pure mathematics and statistics, I particularly enjoyed my final year where I could apply statistical methods to different fields including medicine and finance. In Summer 2018 I completed an internship at STOR-i. I explored how to apply a statistical model to estimate the rate that particles spread out over time in the ocean. I worked with my supervisor to improve the current, but inconsistent, techniques and applied different methods to real, ocean data. Having thoroughly enjoyed my time as an intern, I am looking forward to exploring statistics and operational research further during my time as an MRes student.

Matthew Darlington

I graduated in 2019 from Warwick University with a BSc in Mathematics. My favourite modules during my degree focused on areas such as Stochastic Processes and Probability Theory. After my degree I took part in the STOR-i summer internship to get a taster of what PhD life was like here. My project was entitled 'Optimal learning for multi-armed bandits' and I got to learn new techniques to approach a larger problem. I am looking forward to developing my skills further and seeing how I can apply these to real life problems.


George Dewhirst

I graduated from the University of Warwick in 2016 with an MMath in Mathematics. My 4th year university project was on Variational PDE based methods with graphs, where I solved clustering problems in data science.

Since graduating, I have worked in consultancy and software development. In my work I have developed a yield curve fitting method for economic scenario generation, and I've also developed a claims frequency model for under dispersed data sets.

I am interested in using my technical skills to make an impact on a real-world problem. Solving such problems would allow me to make an impact on current industrial practice through my focused self-starting approach, and by bringing the subject to life.

Peter Greenstreet

Before STOR-i I did my undergraduate degree in mathematics with statistics at Lancaster University. During the summer at the end of my second year at Lancaster I did two internships. The first was as a maths teacher at a local school. Then I did the STOR-i internship. The teaching internship gave me great insight into teaching a class and how best to plan and give presentations which are both very useful skills for doing my PHD. After this, I did the STOR-i internship. During which, Zak was my PhD Supervisor where he set me a project of modelling earthquakes. This project was very interesting and gave me an idea on how to tackle a research problem, from finding books and articles about the project as well as finding ones to deepen my mathematical understanding of the different models I was using. Moreover, my coding skills were greatly developed during the internship. After doing the internship, I was lucky enough to receive an offer. The reason I chose STOR-i was as it is a CTD there are other around you on similar projects which gives you a group to bounce ideas off. Furthermore, the links with industry means that I can see a real use to the research I am going to undertake.  I am really looking forward to learning new areas of statistics, understanding more about what OR is and how we use it, and to improve my research skills over my MRes.


Edward Mellor

I graduated from the University of Exeter in the summer of 2019 with a Master’s degree in mathematics. During my time there I studied a range of topics in pure mathematics in addition to a few modules in more applied areas such as stochastic processes and graph theory. While completing my Master’s dissertation on p-adic analysis I began to investigate opportunities in post graduate research.

In the summer of 2018 I completed a 9 week research placement at the Centre for Ecology and Hydrology in association with the University of Reading where I was part of a team investigating the effects of snowmelt on flood forecasting models. This experience reaffirmed my desire to pursue a career in research and in particular for the focus of that research to have tangible impact.

I look forward to making the most of all STOR-i has to offer!

Tamas Papp

Before joining STOR-i, I studied mathematics at the University of Cambridge, graduating with a BA and MMath in 2019. While initially thinking I'd focus on pure mathematics, I soon took a liking to applicable and applied topics, with statistics being a clear favourite. I decided to specialize in this area in the MMath, particularly enjoying high-dimensional statistical methodology.

STOR-i's focus on practical problems made it a natural choice for me, as I've always wanted to apply my mathematical knowledge to the real world. I look forward to expanding my research interests and making a successful transition from student to researcher.


Matthew Randall

My name is Matt and I am from Kent. I graduated from the University of Bath in 2016 with an MPhys in Physics, having written a dissertation in statistical mechanics titled “A comparison of how optimization by Kinetic Monte Carlo effects the folding of proteins of various lengths”. Following this I spent two years working at an independent school in the Cotswolds, where my time was spent working in a boarding house and teaching physics. In 2018, I then decided to convert to mathematics and returned to Bath for an MSc in Modern Applications of Mathematics, having written a dissertation involving geometric probability in partnership with Pepsi-co. After completing my MSc I joined STOR-i and am keen to explore all of the academic opportunities it has to offer.

Hamish Thorburn

Being born and raised in Australia, I completed a BSc/BA majoring in Mathematics and Statistics from the University of Queensland, graduating from my honours year in 2015. I realised early on in this degree that I really enjoyed applied mathematics and statistics, and sought out subjects in this area. This culminated in my honours thesis, in which I used statistical and operational research techniques to determine the best way to select cricket players in the Indian Premier League player auction. After graduating, I spent a few years researching and analysing crime data for the New South Wales government, before deciding to pursue further study. As soon as I found the STOR-i program, I knew that this was what I wanted to do. Over the next four years, I’m looking forward to seeing more applications of statistics and operational research to real-world problems, as well as pronouncing data as “dah-tah”.


Kim Ward

My undergraduate degree was in Mathematics at the University of Cambridge, focusing on the areas of probability and theoretical computer science. Before joining STOR-i, I spent a year as an operational analyst at the Office for National Statistics, helping to optimise the decision-making for the 2021 Census using modelling and simulation. I have come to the programme because of the chance to do research with real impact, believing that real-world problems don't respect the boundaries of academic disciplines, and that STOR-i's interdiscipliniary nature could be the key to unlocking those doors.

Tessa Wilkie

I was drawn to STOR-i’s combination of academic excellence, focus on real world applications and supportive team atmosphere.

I read History at Trinity College, Cambridge, graduating in 2007. I went straight into journalism after this, working at a capital markets newspaper during a long period of crisis and unconventional monetary policy in global financial markets.

During my career I became increasingly aware of — and more interested in — the ways in which individuals and institutions use statistics to understand what is going on in the world and to inform decisions. I began studying statistics part-time, alongside my job, at Birkbeck College, University of London. I completed a Graduate Certificate in Statistics before going on to Birkbeck’s MSc in Applied Statistics, taking some option modules in operational research.

I am excited to have the opportunity at STOR-i to deepen my knowledge of key topics in Statistics and OR before exploring areas of cutting-edge research and the practical problems that motivate them.