About me
Hello! I am a 3rd-year Electrical and Systems Engineering PhD student in the GRASP lab at the University of Pennsylvania. I am advised by Prof. Nikolai Matni.
Previously, I graduated with BSc degrees in Mathematics and in Statistics & Data Science from Yale University. I then spent a year as a researcher in the Kluger Lab at Yale University's Applied Mathematics Program.
I am interested in:
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Learning, (for) Dynamical Systems, (and) Control.
I will be interning with the Reinforcement Learning Group at Microsoft Research NY this summer. Feel free to reach out if you're in the area!
Email: ttz2 AT seas DOT upenn DOT edu.
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Meta-Learning Operators to Optimality from Multi-Task Non-IID Data, in submission. [arxiv]
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Performance-Robustness Tradeoffs in Adversarially Robust Control and Estimation, in submission. [arxiv]
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Multi-Task Imitation Learning for Linear Dynamical Systems, L4DC 2023. [arxiv]
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TaSIL: Taylor Series Imitation Learning, NeurIPS 2022. [arxiv]
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Performance-Robustness Tradeoffs in Adversarially Robust Linear-Quadratic Control, CDC 2022. [arxiv]
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Adversarially Robust Stability Certificates can be Sample-Efficient, L4DC 2022. [arxiv]
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Adversarial Tradeoffs in Robust State Estimation, ACC 2023. [arxiv]
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Biwhitening Reveals the Rank of a Count Matrix, SIAM Journal on Mathematics of Data Science. [arxiv]
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Sparse Optimization on General Atomic Sets: Greedy and Forward-Backward Algorithms, pre-print. [arxiv]
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On the Continuous Fermat-Weber Problem for a Convex Polygon using Euclidean Distance. [arxiv]
Artifacts from simpler times
