Peter Koepernik

DPhil in Statistics student

About Me

I am a 2nd year DPhil student at the Department of Statistics, supervised by Alison Etheridge. My project is on superprocesses, which are measure valued diffusions that can be understood as models for large populations evolving in time and space. Mathematically, they are at the intersection of stochastic analysis, scaling limits of particle systems, and partial differential equations. I have undergraduate degrees in Mathematics, Computer Science, and Physics from the Karlsruhe Institute of Technology (2020), and a Masters in Mathematics from the University of Oxford (2021). My undergraduate theses were on Noise in the Anderson Model, and on Consistency of Gaussian process regression in metric spaces. My Master's thesis was on a novel proof for the dimension of level sets of superBrownian motion.

Research Interests

  • Superprocesses
  • Scaling limits of particle systems
  • General probability theory and stochastic analysis

Contact Details


Office: 3.04

Research Groups