Seth Flaxman, Ph.D., is Associate Professor in the Department of Computer Science at the University of Oxford.
A winner of the Samsung AI Researcher of the Year award (2020), Flaxman has a Ph.D. in machine learning and public policy from Carnegie Mellon University.
He was previously faculty at Imperial College London where he led landmark studies on the effectiveness of non-pharmaceutical interventions during the first wave of the Covid-19 pandemic in Europe (Flaxman et al, Nature, 2020) and on pandemic-associated orphanhood (Hillis et al, Lancet, 2021).
Within the field of machine learning, he works on statistical machine learning methods for spatiotemporal data, Bayesian methods, and kernel methods and has published in NeurIPS, ICML, KDD, AISTATS, and UAI.
His personal webpage can be found here.
His university webpage can be found here.