FM-DeepRV: Deep Learning for Bayesian Inference with Flow Matching
SPIGM ICML Workshop, 2026
Machine learning researcher
I am a DPhil student in Computer Science at the University of Oxford, where I develop probabilistic machine-learning systems that represent uncertainty, reason about interventions, and select informative actions. My research spans Bayesian inference, neural processes, causal inference, and active inference. I previously earned an M.S. in Computational Social Science from Stanford University and an M.S. in Computer Science, specializing in Machine Learning, from Georgia Tech.
SPIGM ICML Workshop, 2026
STRL IJCAI-ECAI Workshop, 2026
AISTATS PMLR, 2026
AISTATS PMLR, 2026
arXiv arXiv:2411.14119, 2024
Nature Human Behaviour 4, 736–745, 2020
US Patent 10,990,896 B2, 2021
US Patent 10,432,664 B2, 2019
US Patent 10,102,387 B2, 2018
US Patent 9,754,259 B2, 2017
US Patent 9,665,695 B2, 2017