Papers and preprints

eLife (in press), 2022.

Submitted, 2022.

Inventiones mathematicae 229, 451-562, 2022.

Geometry & Topology (to appear), 2022.

Math. Res. Lett., Vol. 28, no.4, 967-1032, 2021.

Nature 583, 265–270, 2020.


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)

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.

Selected talks


  • School of Mathematics, The University of Edinburgh, James Clerk Maxwell Building (JCMB), The King's Buildings, Peter Guthrie Tait Road, Edinburgh, EH9 3FD, Scotland, UK