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.