DPhil in Statistics student
[e.g. educational background, biographical details]
[areas of research interest]
Email: lam@stats.ox.ac.uk
Office:
Pronouns: He/Him
StatML student
[e.g. educational background, biographical details]
[areas of research interest]
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Link to supervisor profile
StatML student
I am a first-year DPhil student on the StatML CDT programme. I previously studied mathematics at the University of Cambridge for my BA and MMath, specialising in statistics.
I am interested in using statistics and machine learning approaches to gain insights from epidemiological data.
Email: alexander.yan@stats.ox.ac.uk
Office: G.05
Pronouns: he/him
CDT Mathematics of Random Systems student
Educational background:
PhD Mathematics of Random Systems at the University of Oxford (2023 - present)
Visiting student at ETH Zürich (2022 - 2023)
MSc Mathematics at the University of Copenhagen (2021 - 2023)
BSc (Pure) Mathematics at the University of Copenhagen (2020 - 2021)
BSc Actuarial Mathematics at the University of Copenhagen (2017 - 2020)
I wrote my master's thesis under the joint supervision of Prof. Josef Teichmann (ETHZ) and Prof. Thomas Mikosch (UCPH) on rough paths and signature development on Lie groups.
Teaching:
Probability, Measures & Martingales (MT24) - 1 set
Probability on Graphs & Lattices (MT24) - 2 sets
Probability theory, in particular:
and technical tools for dealing with such objects. Right now I am mainly working on Lévy forests and their representation as scaling limits of Galton-Watson R-forests, using measure-theoretic tools developed on somewhat general classes of measured rooted R-trees. I also have broader interests in other aspects of probability such as percolation, statistical mechanics, random walks, random geometry and stochastic processes.
Besides this I also have research interests in rough path theory and related areas, in particular in connection with signatures, randomized signatures and their interface with differential geometry.
DPhil in Statistics student
[e.g. educational background, biographical details]
[areas of research interest]
Email:
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Link to supervisor profile
DPhil in Statistics student
I am a first year PhD student in the probability group supervised by Alison Etheridge.
Probabilistic modelling in population genetics
Email: garrett@stats.ox.ac.uk
Office: 3.04
Pronouns: he/him
Health Data Science CDT student
I am a DPhil student on the Health Data Science CDT working on statistical and generative machine learning for causal inference, with emphasis on applications to neuro-imaging data. Prior to starting the DPhil, I completed a BSc in Physics with Medical Physics at University College London (UCL) followed by an MPhil in Machine Learning and Machine Intelligence at the University of Cambridge.
Email: emma.prevot@exeter.ox.ac.uk
Office: G.01
DPhil in Statistics student
I am a first-year DPhil student researching efficient data acquisition through an information-theoretic lens, with a focus on Bayesian Experimental Design (BED) and Active Learning (AL). My work aims to improve the scalability of BED and AL, addressing computational bottlenecks such as sampling in high-dimensional parameter spaces (e.g. images), or the combinatorial complexity of searching over possible batches in AL.
Looking ahead, I’m also interested in exploring others areas including generative modelling, and Bayesian optimisation.
Email: knowles@stats.ox.ac.uk
Office: 1.17
Pronouns: He/Him/His
Groups
https://www.stats.ox.ac.uk/people/tom-rainforth
Postdoctoral Researcher
Deep learning for biomedical data analysis
Email: yong.wang@stats.ox.ac.uk