Graduate Mathematician and Statistician with a specialism in computational statistics, wavelet methods and stochastic processes.
After completing an MSc in Statistics (Theory and Methods) at Imperial College London, I am currently undertaking a PhD in Statistics under the supervision of Professor Emma McCoy and Dr. Ed Cohen researching the application of wavelets to Point Processes.
I completed my Masters thesis on identifiability of self-exciting point processes, and continued to extend this work during my PhD.
Furthermore, I was a Google Summer of Code open source developer working on creating and maintaining a package for R Project for Statistical Computing. This package is called changepoint.online, and alongside developing the package, I also developed new statistical methods. My research involved the creation of new changepoint detection methods which are online versions of the statistical methods PELT and ECP. I have continued to develop changepoint methods and additionally develop wavelet methods.
PhD Statistics, Ongoing
Imperial College London
MSc Statistics - Theory and Methods (Distinction), 2020
Imperial College London
BSc Mathematics with Statistics (First Class Hons), 2019
Lancaster University
Distinction. Statistics with a focus on theoretical and methodological statistics. Alongside the modules, a range of transferable skills, including programming, problem-solving, critical thinking, scientific writing, project work and presenting are taught. Modules completed include: Multivariate Analysis, Advanced Statistical Theory, Time Series, Machine Learning, and Non-parametric Smoothing and Wavelets.
Dissertation: Identifiability of Self-Exciting Point Processes. Supervisor: Dr. Ed Cohen
Prizes: Best MSc Statistics Project (Winton) & Best MSc Statistics Poster (Department)
During the summer, I had the opportunity to teach a group of 24 students at the CIEE in London as part of their study abroad program. Working closely with an academic from Imperial College London, I co-taught a course on Differential Equations — a first-year undergraduate module designed for visiting engineers and computer scientists.
In this role, I was responsible for creating and delivering course content, including exam materials, coursework questions, and lecture notes. In addition, I was responsible for marking exams and coursework to ensure students received comprehensive feedback on their progress. Furthermore, I led several lectures, helping students navigate the complexities of differential equations in a rigorous yet supportive learning environment.
I am also currently a visiting research student at the London School of Economics (LSE). This opportunity arose due to the movement of my supervisor, Professor Emma McCoy, from Imperial College London to LSE. My PhD is under the joint supervision of Dr. Ed Cohen at Imperial College London and Professor Emma McCoy at LSE. This collaborative supervision provides me with access to world-leading academics from two of the most prestigious institutions.
Professor Emma McCoy, formerly at Imperial College London, has recently joined the London School of Economics as part of their esteemed faculty. You can learn more about her work at her Imperial profile and her LSE profile.
During my time as a Graduate Teaching Assistant (GTA) at Imperial College London, I have gained extensive experience across multiple departments, including the Business School, the Chemistry Department, and, primarily, the Mathematics Department. I have contributed to a variety of courses, including the Introduction to University Mathematics course for first-year students, as well as numerous modules throughout the undergraduate and master’s programs in the Mathematics Department.
My leadership roles have included Senior Graduate Teaching Assistant and Guest Lecturer, for several courses, where I was responsible for designing course materials, particularly for master’s topics in Statistics. Notably, I developed materials for the Game Theory course and the Statistical Learning course. Additionally, I have made significant contributions to the MSc programs, specifically the MSc Statistics and MSc Machine Learning and Data Science programs. The latter included designing the Data Science Challenge in both 2022 and 2023 and creating content for the Ethics in Data Science course.
Throughout my academic career, I have had a strong passion for education, gaining extensive experience in teaching and tutoring. I have taught subjects ranging from foundational mathematics to advanced topics such as Time Series and Complex Analysis, in both high school and university settings. I have experience of multiple education systems, including the British GCSE, A-Level, and IB curricula, the American system (SATs & ACTs), and the German Abitur. Additionally, I have provided private tutoring for undergraduates seeking additional support in mathematics and statistics.
As a private tutor, I specialise in mathematics, statistics and computing, working with students from GCSE to undergraduates. Tailoring my approach to each student’s needs enables me to provide effective support, whether they are preparing for exams, developing understanding of specific topics, or looking to strengthen their knowledge of complex concepts. Beyond traditional tutoring, I have also delivered statistical literacy and continued professional development sessions, teaching programming, statistics, and applied mathematics to professionals looking to up-skill in their current roles.
Tutoring is available both in-person and online with flexible options to suit different learning preferences. If you are interested in tutoring options or have any other inquiries, please do not hesitate to contact me.
Over the summer of 2017 I worked as a full-time teacher and taught robotics to 13 to 17 year olds for Tamwood Camps. This involved writing and delivering lessons and evaluating students’ work. Furthermore, I also took the children on several excursions to MIT for extended classes.
The robotics program included how to build basic robots and gain a deeper understanding of programming.
Representing the Department for three years, I attended student-staff meetings and other events for the Mathematics and Statistics Department. This role included listening to the concerns raised by the students within my department; discussing these issues with staff; working to find the best possible resolution for all parties; and feeding back all of the relevant information to my fellow students.
In my third year, I assumed the role of Lead Representative. Tasks for this role included creating agendas for all staff-student meetings; ensure that all students (undergraduates and postgraduates), including the other representatives, had a voice; and chairing all meetings for the Mathematics and Statistics Department.
During my undergraduate and masters degrees, I took part in a variety of social enterprises through my involvement with Enactus. During the later years I was involved, I was Team Leader of Enactus Lancaster where I was ultimately responsible for all activities of the society. Some are highlighted below.