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  1. Daniel Jarrett. Note: As of April 2023, I have joined Google DeepMind full time as Research Scientist. I am a final-year Ph.D. candidate in Mathematics at the University of Cambridge , advised by Mihaela van der Schaar in the Machine Learning and Artificial Intelligence group.

  2. 2023. Articles 1–20. ‪Research Scientist at DeepMind‬ - ‪‪Cited by 1,709‬‬ - ‪Generative Modeling‬ - ‪Reinforcement Learning‬ - ‪Causal Inference‬.

  3. Oct 28, 2023 · Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning. Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar. Understanding human behavior from observed data is critical for transparency and accountability in decision-making. Consider real-world settings such as healthcare, in which modeling a decision-maker's ...

    • arXiv:2310.19831 [stat.ML]
  4. Daniel Jarrett, Jinsung Yoon, Member, IEEE, and Mihaela van der Schaar, Fellow, IEEE Abstract—Accurate prediction of disease trajectories is critical for early identification and timely treatment of patients at risk.

  5. 2,953 Followers, 2,148 Following, 458 Posts - Daniel Jarrett (@danielstorzjarrett) on Instagram: "Husband, father of 3, wake park owner (@westrockwakepark), & model @selectmodelchicago @willymennyc @directionsusa @heffnermanagement".

  6. Authors. Jinsung Yoon, Daniel Jarrett, Mihaela van der Schaar. Abstract. A good generative model for time-series data should preserve temporal dynamics, in the sense that new sequences respect the original relationships between variables across time.

    • Jinsung Yoon, Daniel Jarrett, Mihaela van der Schaar
    • 2019
  7. INTRODUCTION. principal challenge in modeling human behavior is in obtaining a transparent understanding of decision-making. In medical diagnosis, for instance, there is often significant regional and institutional variation in clinical practice [1], much of it the leading cause of rising healthcare costs [2].