About me
Hello! I am a 4th-year Electrical and Systems Engineering PhD student in the GRASP lab at the University of Pennsylvania. I am fortunate to be 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. During the summer of 2023, I interned at Microsoft NYC.
I am interested in:
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Learning, (for) Dynamical Systems, (and) Control.
I'm visiting Stephen Tu and Lars Lindemann at the University of Southern California for the rest of spring semester! Feel free to reach out if you're in the area.
Email: ttz2 AT seas DOT upenn DOT edu.
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Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data, to appear at ICLR 2024 (Spotlight presentation!). [OpenReview]
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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
