Probability, Statistics and Data Science PhD graduates
Our PhD graduates from Probability, Statistics and Data Science have gone on to work in many places within academia and beyond. Here are the most recent ones:
- Jasna Urbančič (graduated 2024)
Thesis: Stable Topological Structures in Data
Supervisor: Primoz Skraba - Maldon Goodridge (graduated 2022)
Thesis: Markov chain methods for rare event sampling and applications to energy systems
Supervisor: John Moriarty
Subsequent role: Expert Technologist- Energy Systems Modelling - Asma Farid (graduated 2022)
Thesis: Analysis of Computer Experiments with Smooth Emulators
Supervisor: Hugo Maruri-Aguilar
Subsequent role: Statistician, Siemens Healthineers - Marco Gramatica (graduated 2022)
Thesis: Bayesian Spatial Modelling of Misaligned Data
Supervisor: Silvia Liverani
Subsequent role: Econometrician and Data Analyst at T&P𝑚 - Jingran Zhai (graduated 2021)
Thesis: Extinction time of stochastic SIRS models: criticality, ODE and diffusion approximation
Supervisor: Alexander Gnedin
Subsequent role: Model Risk Validation - Kieran Ryan (graduated 2021)
Thesis: Representation-theoretic approaches to several problems in probability
Supervisor: Alexander Sodin
Subsequent role: Postdoc at University of Vienna - Amirlan Seksenbayev (graduated 2020)
Thesis: Stochastic Optimisation Problems of Online Selection under Constraints
Supervisor: Alexander Gnedin
Subsequent role: Quantitative Analyst at Legal & General Investment Management - Serhii Lysychkin (graduated 2021
Thesis: Complex eigenvalues of high dimensional quaternion random matrices
Supervisor: Boris Khoruzhenko
Subsequent role: Research Software Engineer at - Christian Pötz (graduated 2020)
Thesis: Function approximation for option pricing and risk management Methods, theory and applications
Supervisor: Kathrin Glau
Subsequent role: Quantitative Analyst at Allianz Global Investors - Shaoxiong Hu (graduated 2019)
Thesis: Algebraic techniques for statistical model selection
Supervisor: Hugo Maruri-Aguilar
Subsequent role: AI Researcher at Huawei - Ayon Mukherjee (graduated 2019)
Thesis: Covariate-adjusted response-adaptive designs for clinical trials
Supervisor: Steve Coad
Subsequent role: Principal Biostatistician at Clinipace, Germany - Bairu Zhang (graduated 2018)
Thesis: Functional Data Analysis in Orthogonal Designs with Applications to Gait Patterns
Supervisor: Heiko Grossmann and Dylan Morrisey
Subsequent role: Senior Statistician at AstraZeneca - Peter Curtis (graduated 2017)
Thesis: Smooth supersaturated models for computer experiments
Supervisor: Hugo Maruri-Aguilar - Wenyu Liu (graduated 2017)
Thesis: Group-sequential response-adaptive designs for comparing several treatments
Supervisor: Steve Coad
Subsequent role: Medical Statistician at - Kabir Soeny (graduated 2017)
Thesis: Pharmacometrically driven optimisation of dose regimens in clinical trials
Supervisor: Barbara Bogacka and Byron Jones
Subsequent role: Senior Manager at Bain & Company