
Education
- 2019-2023: Ph.D. Mathematics, University of Cambridge
- 2017-2018: M.S. Computer Science, University of Oxford
- 2008-2012: B.A. Economics, Princeton University
Experience
- 2022-2022: Research Scientist Intern, Google DeepMind
- 2018-2019: Research Scientist, Mirada Medical
- 2015-2016: Research Engineer, RecruitiFi
- 2012-2015: Senior Analyst, Cornerstone Research
- 2011-2011: Analyst, Goldman Sachs
Research
Daniel is a member of the Machine Learning and Artificial Intelligence research group advised by Prof. Mihaela van der Schaar. His research focuses on inference and learning for modeling, understanding, and improving decision-making over time, with broad interests in generative modeling, reinforcement learning, and causal inference.