I am a PhD student on the StatML CDT programme, based in the Department of Statistics at the University of Oxford. My current research is focused on computational methods for optimal transport and optimal control, and is supervised by George Deligiannidis and Patrick Rebeschini.
Previously, I obtained my Masters in Mathematics at Oxford, where I focused on Functional Analysis and Probability Theory.
Download my CV.
PhD in Statistics (StatML Programme), 2023-
University of Oxford
Master in Mathematics, 2018-2022
University of Oxford
Control Consistency Losses for Diffusion Bridges
Frontiers in Probabilistic Inference Workshop, NeurIPS 2025 (Oral)
Samuel Howard*, Nikolas Nüsken, Jakiw Pidstrigach
Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres
NeurIPS 2025
Samuel Howard*, Peter Potaptchik, George Deligiannidis
Paper | Code | Blog
Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive
NeurIPS 2025
Tyler Farghly*, Peter Potaptchik*, Samuel Howard*, George Deligiannidis, Jakiw Pidstrigach
Paper
Differentiable Cost-Parameterized Monge Map Estimators
Differentiable Almost Everything Workshop, ICML 2024
Samuel Howard*, George Deligiannidis, Patrick Rebeschini, James Thornton
Paper | Code
I have tutored Mathematics undergraduates at New College, Oxford in the following courses:
I have been a teaching assistant at the Department of Statistics for the following courses: