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
  Currently: Expert Technologist- Energy Systems Modelling
  
  
• Asma Farid (graduated 2022)
  Thesis: Analysis of Computer Experiments with Smooth Emulators
  Supervisor: Hugo Maruri-Aguilar
  Currently: Statistician, Siemens Healthineers 
  
  
• Marco Gramatica (graduated 2022)
  Thesis: Bayesian Spatial Modelling of Misaligned Data
  Supervisor: Silvia Liverani
  Currently: 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
  Currently: Model Risk Validation
  
  
• Kieran Ryan (graduated 2021)
  Thesis: Representation-theoretic approaches to several problems in probability
  Supervisor: Alexander Sodin
  Currently: Postdoc at University of Vienna
  
  
• Amirlan Seksenbayev (graduated 2020)
  Thesis: Stochastic Optimisation Problems of Online Selection under Constraints
  Supervisor: Alexander Gnedin
  Currently: Quantitative Analyst at Legal & General Investment Management
  
  
• Serhii Lysychkin (graduated 2021
  Thesis: Complex eigenvalues of high dimensional quaternion random matrices
  Supervisor: Boris Khoruzhenko
  Currently: Research Software Engineer at Huawei
  
  
• Christian Pötz (graduated 2020)
  Thesis: Function approximation for option pricing and risk management Methods, theory and applications
  Supervisor: Kathrin Glau
  Currently: Quantitative Analyst at Allianz Global Investors
  
  
• Shaoxiong Hu (graduated 2019)
  Thesis: Algebraic techniques for statistical model selection
  Supervisor: Hugo Maruri-Aguilar
  Currently: AI Researcher at Huawei
  
  
• Ayon Mukherjee (graduated 2019)
  Thesis: Covariate-adjusted response-adaptive designs for clinical trials
  Supervisor: Steve Coad
  Currently: 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
  Currently: 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
  Currently: Medical Statistician at University of Oxford
  
  
• Kabir Soeny (graduated 2017)
  Thesis: Pharmacometrically driven optimisation of dose regimens in clinical trials
  Supervisor: Barbara Bogacka and Byron Jones
  Currently: Senior Manager at Bain & Company