Leverhulme Trust Early Career Fellow
Academic Division: Information Engineering
Research group: Computational and Biological Learning
Telephone: +44 1223 7 48520
Email: mz477@eng.cam.ac.uk
Biography
Miri Zilka is a Research Fellow in the Machine Learning Group at the University of Cambridge where she works on Trustworthy Machine Learning. Her research centers around the deployment of algorithmic tools in criminal justice. Before coming to Cambridge, she was a Research Fellow in Machine Learning at the University of Sussex, focusing on fairness, equality, and access. Miri obtained a PhD from the University of Warwick in 2018. She holds an M.Sc. in Physics and a dual B.Sc. in Physics and Biology from Tel Aviv University.
Miri holds a Leverhulme Early Career Fellowship to develop a human-centric framework for evaluating and mitigating risk in causal models. She is a College Research Associate at King’s College Cambridge and an Associate Fellow at Leverhulme Centre for the Future of Intelligence.
Department role and responsibilities