Alyssa Li Dayan

Alyssa Li Dayan

Artificial Intelligence PhD Student

UC Berkeley

Hi, I am Alyssa Li Dayan (pronounced “A-lee-sa Lee Day-an”); I also go by Li.

I am a Computer Science Ph.D. student at Berkeley Artificial Intelligence Research where I am advised by Stuart Russell. Before that, I was an Machine Learning (ML) research scientist at Uber ATG. I completed my BS at MIT where I did research with the Flavell, Cocosci and MIT-IBM Watson AI labs.

My research is supported by the Hertz Fellowship.

  • Hierarchical reinforcement learning and skill discovery
  • Continual and lifelong Learning
  • Meta learning
  • Exploration and intrinsic motivation
  • PhD in Computer Science, 2025 (expected)

    UC Berkeley

  • BS in Math with Computer Science, 2018

    Massachusetts Institute of Technology

Recent Publications

(2022). Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement. ICLR 2023.


(2021). A Neural Circuit for Flexible Control of Persistent Behavioral States. eLife 10.

PDF Cite

(2021). Multixnet: Multiclass Multistage Multimodal Motion Prediction. In 2021 IEEE Intelligent Vehicles Symposium (IV).

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(2019). Analyzing Sketches Around the World with sketch-rnn. Analytics Vidhya, results selected for display at the AI Art Gallery at NeurIPS 2020.

Medium Post


  • dayan at berkeley dot edu