About me
I am a Research Scientist at Amazon Robotics. I am interested in developing reliable, data-driven algorithms for decision making and control. In order to trust that data-driven methods will deliver reliable performance in complex real-world applications, my research focuses on the need for robustness, safety, and generalization. I primarily explore these topics in the context of deep reinforcement learning, imitation learning, and self-supervised learning, with applications in robotics.
Previously, I was a Postdoctoral Research Fellow at Mitsubishi Electric Research Laboratories and a Research Affiliate at MIT in Jonathan How’s Aerospace Controls Laboratory. I received my PhD in systems engineering from Boston University, where I was advised by Yannis Paschalidis and Christos Cassandras. I also hold a MS in systems engineering from Boston University, and a BA in mathematics and mathematical economics from Colgate University.
Selected News
| Jun 2025 | Our paper on robust dynamics generalization in deep RL is available on arXiv. |
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| May 2025 | Our paper on visually robust imitation learning from videos appeared at ICRA 2025. |
| Apr 2025 | I started as a Research Scientist at Amazon Robotics. |
| Jan 2025 | Our paper on physics-informed evidential traversability learning was published in IEEE RA-L. |
Selected Publications
Check out the Publications page for a full list of my publications.