Rivka Mitchell is a Postdoctoral Researcher in Causal Systems Modeling at the Oxford Martin AI Governance Initiative.

Her research background is in probability, and more specifically random processes on graphs. She has worked on projects concerning scaling limits and connectivity thresholds for random graph models, as well as MCMC methods. Prior to joining the AI Governance Initiative, she conducted a DPhil in Mathematics at the University of Oxford as part of the CDT in Random Systems: Analysis, Modelling, and Algorithms, where her thesis examined random graphs with additional structure evolving in time.

Her work has been published in leading probability journals, including Probability Theory and Related Fields and the Electronic Journal of Probability, and she has presented her research at multiple university seminars as an invited speaker. She was also an organiser of the Oxford Probability Workshop: Random Discrete Structures — a week-long international conference at the University of Oxford, bringing together researchers in discrete probability.

In addition to her research, Rivka is a Stipendiary Lecturer in Mathematics at St Hugh’s College, Oxford. She also holds an MSc in Mathematics and Statistics and a BSc in Honours Mathematics with a Minor in Computer Science from McGill University.