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.

Ed Austin Student

Edward Austin

Before joining STOR-i, I completed my undergraduate degree in Mathematics at Lancaster University where I studied a wide range of topics from stochastic processes to graph theory. During the summer after my second year I also completed an internship at STOR-i working on a project looking at ‘Modelling risk during transportation of hazardous materials’ and I enjoyed this thoroughly. It is this experience that has made me excited to get started with the MRes year and take in all that STOR-i has to offer!

Callum Barltrop

I graduated from Lancaster University in 2018 with a BSc in Mathematics. During my undergraduate, I studied a wide range of modules, with a focus on pure maths. It wasn’t until my third year when I completed a dissertation on 'Ordinary differential operators in weighted Sobolev spaces' that I decided pure maths was definitely not for me. I was fortunate enough to take part in the STOR-i internship programme in the summer of 2017, where I investigated bias in return level estimates due to the use of a stopping rule. The internship showed me the power of statistics and operational research and I thoroughly enjoyed the experience. I also completed a data analysis placement over the summer of 2018, which further confirmed my decision to join the STOR-i programme. I look forward to exploring new areas of study and strengthening my research skills over the MRes year!

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Ben Black

Before moving to Lancaster, I completed my BSc in mathematics at Cardiff University between 2014 and 2017. Whilst on this course, I kept my academic experience varied, studying a variety of modules in pure and applied mathematics. This degree gave me my first experience in OR and a variety of further experience in statistics, my favourite topics being optimisation and game theory. This led me to stay in Cardiff to study for my MSc in OR and applied statistics. On this course I gained more experience in OR and statistics along with independent research through my MSc dissertation. My dissertation was entitled ‘An Empirical Evaluation of the Ohtsuki-Nowak Approximation’, an approximate evolutionary dynamic for games on regular graphs. The experience I gained at Cardiff gave me a strong appreciation for the applications of OR and statistics. As a result of this and my enthusiasm for mathematics, I wanted to keep learning about these topics and contribute to the fields myself, which led me to STOR-i.

George Bolt

I graduated from the University of Manchester in 2018 with a BSc in Mathematics. During my time there I studied a variety of topics in Pure and Applied Mathematics. In the later years, with more freedom to choose modules which I found interesting, I focussed mainly on the Pure Mathematics and Statistics.

In my final year I decided that I wanted to pursue a PhD and whilst exploring my possibilities I discovered the STOR-i programme. The philosophy here fit perfectly with my desire to try and solve real world problems, particularly their links with industry. In the year ahead I am looking forward to broadening my knowledge in the fields of Statistics and Operational Research whilst also discovering where my research interests lie. I also look forward to developing the research skills I will require to make a success of my PhD.

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Thu Dang

I'm from Vietnam, before joining STOR-i at the Lancaster Uni. I was a full-time math teacher in Ha Long city, Vietnam, at a high-school specialised in mathematics. My duty was preparing a small group of talents for national math competitions. I'm also an author of many new math exercises designed for high-school students that have been adapted widely in different high-schools in Vietnam. The reason I choose to join Stor-i is because my research interest include theoretical optimisation and statistical problems, and their applications to real-life scenarios. Besides, I would like to be part of an amazing team, working with and learning from talented students and experienced staff in these areas. Last but not least, I will try my best to contribute as much as I can to the team. Previously, I worked at the University of Arizona, USA, as a research technician on mathematical modelling of different biological and virus infection processes. I got a 1st/outstanding degree in mathematics from the Eötvös Loránd university (ELTE) in Budapest, Hungary. I love Asian foods, watching movies or travelling as a tourist to different cities/countries, to discover their characteristics and culture.

Chloe Fearn

I graduated from Lancaster University in the summer of 2018, having completed a BSc in Mathematics. Throughout my undergraduate degree I studied a range of modules across pure mathematics and statistics, but statistics was the area that really took my interest, and that I wanted to pursue further. During the summer at the end of my second year I took part in the STOR-i internship, where I worked on a project on Analysis of Armed Conflict Data, finding factors that influenced violence against civilians in Africa. I enjoyed applying the methods I had learnt at university to an extended project, and so I decided to return to STOR-i in order to explore statistics and operational research further, whilst using my knowledge to solve real world problems. I look forward to everything that the MRes and PhD here at STOR-i has to offer.

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Jake Grainger

In 2018 I Graduated Lancaster University with BSc in Mathematics and Statistics. For me the summer of 2017 was spent in Lancaster, working on an engaging and challenging project as part of my STOR-i internship. My project looked at different ways of modelling spatial extremes, in particular modelling their dependency structure. The experience made me keen to further explore applications of statistics and operations research and it is this that has brought me onto the STOR-i programme.

Graham Laidler

Before joining the STOR-i programme, I completed an undergraduate degree in Mathematics at Durham University. Whilst there, I studied a variety of both pure and applied topics. My final year project led me to explore Bayesian methods of text classification for use in email spam filters. I was also fortunate enough to complete the STOR-i internship in the summer of 2017, during which I looked at the problems of changepoint detection in time series data. This first introduction to the STOR-i CDT gave me an appreciation for the use of statistics and operational research in tackling industry-based problems. It also triggered my interest in further research, so I look forward to getting involved in the active community at STOR-i.

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David Morrison

Before STOR-I, I did my undergraduate degree in mathematics at the University of Glasgow, with a final year project on locating the roots of the Riemann-Zeta function. I then went to St Peter’s college in Oxford for my masters in mathematical modelling and scientific computing. During my time there I took on a large variety of projects, with my dissertation focusing on numerical linear algebra and the convergence behaviour of GMRES.

I’m new to statistics and hope to learn more while continuing to use my experience in numerical analysis for operational research.

Luke Mosley

I did an undergraduate degree in Mathematics and Statistics at the University of Warwick from 2015 to 2018. During my time studying, I particularly enjoyed statistical modules such as applied stochastic processes, Bayesian statistics, and forecasting and intervention. I am also curious about how these mathematical and statistical methods can be applied to real world situations. Due to this, I applied to STOR-i, in order to develop these statistical skills and become more professional in programming and presenting.

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Drupad Parmar

Back in 2016, I completed my undergraduate degree in Mathematics at Durham University, during which my interests led me to focus on modules relating to applied mathematics, including statistics and operational research. As a follow up, I completed a master's degree entitled Applicable Mathematics at LSE, where I particularly enjoyed learning the programming language Java, and exploring topics within the field of mathematical programming. Since graduating, I have completed an internship at Vodafone HQ, applying my data analysis and problem solving skills as part of a software testing team, delivering projects to enterprise customers. I am enthusiastic about returning to the world of academia, and am looking forward to learning about modern topics in statistics and operational research, tackling a variety of real-world problems and determining where my research interests lie.

Amiee Rice

After the completion of a research internship at Lancaster University it was clear to me that further study and research was the next step in my career. The internship took place after my second year of university in the Lancaster Environment Center and Data Science Institute and involved work on Larsen B, an ice shelf in Antarctica that collapsed in 2002. I was delighted to see that the statistical techniques I learned in the lecture theatre were so applicable to real life situations in many fields. This project was extended into my third year of university and I was pleased to be working with my supervisor, Amber Leeson, for this time. I graduated with a degree in Mathematics at Lancaster and STOR-i seemed like the perfect option for me. I am really enjoying it so far and look forward to continuing to learn more about research.

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Stan Tendijck

In July 2016, I completed my BSc in Applied Mathematics at Delft University of Technology and two years later, I finished my MSc in Applied Mathematics in Delft in the statistics track with the distinction cum laude.

There are many reasons why I love to do maths and one of them is its many applications. What is more beautiful than solving a real world problem using (simple) mathematics? Although I am a big fan of doing maths just because it is possible, I believe that theory should (most of the time) be supported by relevant applications. This came to life when I did an internship at Shell before coming here where the perfect balance between theory and applications was found. This also applies to the STOR-i programme and that is why I joined as of October 2018.

I am looking forward to gaining more overall knowledge in statistics in general and I am looking forward to working on real world problems with companies like Shell in the future.