Welcome to my homepage! I am a mathematican based in Edinburgh, UK.
I am a Chancellor’s Fellow in the School of Mathematics at the University of Edinburgh. I am affiliated with the MRC Human Genetics Unit, Institute of Genetics and Cancer. My group page can be found here.
We are interested in applications of mathematical statistics to causal questions arising in population biomedicine, drug discovery and public health policy. In particular, we develop and apply estimation strategies in the model-agnostic framework of Targeted Causal Learning. At the same time, we consider applications of pure mathematics, such as methods from geometry and Topological Data Analysis, to questions in biomedicine. This ties in well with my previous life as an algebraic geometer, when I studied the enumerative geometry of Calabi-Yau threefolds via (non-commutative) Donaldson-Thomas theory.
In the second semester of the academic year 2022-2023, I am teaching an MSc course on Targeted Causal Learning.
Previously, I was a postdoctoral fellow with Ben Davison at the University of Edinburgh. During the academic year 2019-2020, I was on leave from Edinburgh working with Georg Oberdieck at the Haussdorff Center for Mathematics of Universität Bonn. Before this, I completed my PhD in algebraic geometry at the University of Edinburgh, working under the supervision of Arend Bayer.
In 2020-2021, I was a co-organiser of the Edinburgh Hodge Seminar.
PhD in Algebraic Geometry, 2014 - 2018
University of Edinburgh
MSc Mathematical Physics, 2012 - 2014
Universiteit van Amsterdam
L3 en Physique, 2010 - 2011
École Normale Supérieure
BSc (Hons) Mathematics, 2008 - 2012
Universiteit van Amsterdam
BSc (Hons) Physics, 2008 - 2012
Universiteit van Amsterdam
Mathematical Statistics: Mark van der Laan
Biomedical Sciences: Wendy Bickmore, Andrew Bretherick, Neil Carragher, Ava Khamseh, Chris Ponting, Karin Purshouse, Martin Taylor
Algebraic Geometry: Arend Bayer, John Calabrese, Francesca Carocci, Ben Davison, Jørgen Vold Rennemo, Andrea Ricolfi
PhD
Olivier Labayle Pabet (2021, CDT in Biomedical AI, School of Informatics)
Kelsey Tetley-Campbell (2021, MRC Human Genetics Unit, IGC)
Jesko Wagner (2022, MRC Human Genetics Unit, IGC)
Breeshey Roskams-Hieter (2022, Health Data Research UK)
Chris Oldnall (2022, MAC-MIGS, School of Mathematics)
MSc
Yue Zhang (Spring 2021, SoI): Topological Data Analysis
2022-2023: Course organiser and lecturer for Targeted Causal Learning. This course will run for the first time in Semester 2 of this academic year.
2021-2022: Coordinated and ran tutorials for Biomedical Data Science
2020-2021: Lecturer for SMSTC Manifolds (first half, Edinburgh)
2014-2018: Teaching assistant (University of Edinburgh). This is a more supportive role, and I have TA’d for courses such as Calculus, Introduction to Linear Algebra, Commutative Algebra, and Algebraic Geometry.
2012-2014: Teaching assistant (University of Amsterdam) for various courses such as Calculus, Linear Algebra, Topology, Analysis on Manifolds, and Statistical Physics, involving some blackboard teaching and occasionally creating exercises.
May 29, 2020, Seminar Algebraic Geometry (Hausdorff Center, Bonn)
Jun 28, 2019, Conference: Moduli Spaces, Representation Theory and Quantization (RIMS, Kyoto)
Jun 18, 2019, Mathematics - String Theory seminar (IMPU, Tokyo)
Dec 13, 2018, Seminar Algebraic Geometry (Hausdorff Center, Bonn)
May 21, 2018, MAGIC seminar (Imperial College London)
Apr 19, 2018, Workshop: sheaves, curves, and moduli (Stavanger)
Sep 20, 2017, Modern Moduli Theory (Oxford)