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Career

· Data Scientist, Hum2025–
· Data Scientist, Hum Works LLC2025–2026
· Senior Research Scientist, Cruise2022–2023
· Senior Research Scientist, Cruise LLC2022–2023
· Research Intern, Google Deepmind2021–2021
· Research Intern, Adobe Inc.2015–2015
· PhD in Computer Science, University of California, Berkeley2015–2021
· Research Assistant, University of California, Berkeley2014–2015
· B.S. in Electrical Engineering and Computer Science (EECS), University of California, Berkeley2011–2015

Publications (13)

Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables
International Conference on Machine Learning · 2019
752
cited
Conditional Networks for Few-Shot Semantic Segmentation
International Conference on Learning Representations · 2018
233
cited
Clockwork Convnets for Video Semantic Segmentation
ECCV Workshops · 2016
207
cited
Few-Shot Segmentation Propagation with Guided Networks
arXiv.org · 2018
127
cited
A Century of Portraits: A Visual Historical Record of American High School Yearbooks
2015 IEEE International Conference on Computer Vision Workshop (ICCVW) · 2015
126
cited
Which Mutual-Information Representation Learning Objectives are Sufficient for Control?
Neural Information Processing Systems · 2021
42
cited
MELD: Meta-Reinforcement Learning from Images via Latent State Models
Conference on Robot Learning · 2020
36
cited
Input-Convex Neural Networks and Posynomial Optimization
2016
3
cited
Meta-Learning to Guide Segmentation
2018
3
cited
Learning and Analyzing Representations for Meta-Learning and Control
2020
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