Scholar
Daniel Jarrett
Google Scholar ID: Pczk-PQAAAAJ
Research Scientist at DeepMind
Citations & Impact
Citations
3,780
H-index
21
i10-index
24
Publications
20
Co-authors
0
Resume
Academic Achievements
- Published multiple papers including 'Explaining Decisions with a Corpus of Examples' (NeurIPS, 2023), 'Simulating and Benchmarking Resource Allocation Policies' (NeurIPS, 2023), 'Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments' (ICML, 2023), etc.
Research Experience
- A Research Scientist at Google DeepMind, working in the Gemini pre-training team. Interned at Google DeepMind in the Deep Reinforcement Learning team, studying representation and exploration, and worked in the Game Theory team on language model training and alignment.
Education
- Ph.D. in Mathematics from the University of Cambridge, advised by Mihaela van der Schaar; M.S. in Computer Science from the University of Oxford; B.A. in Economics (Finance) from Princeton University.
Background
- Research interests include generative modeling, reinforcement learning, and causal inference, focused on modeling, understanding, and improving decision-making over time. Previous life: investment banking, economic research, and software engineering.