Muhang Tian
Courant Institute of Mathematical Sciences
New York University
60 Fifth Avenue, New York, NY 10011
I am a first-year computer science PhD student at NYU Courant and CILVR group, advised by Sumit Chopra and Rajesh Ranganath. I am broadly interested in core machine learning and its application in healthcare. I have previously worked on diffusion models, reinforcement learning, and interpretability.
I obtained my BS in Computer Science with a double minor in Mathematics and Economics at Duke University, where I received Graduation with Highest Distinction and Alex Vasilos Memorial Award. I was very fortunate to work with Cynthia Rudin, Brandon Fain, and Anru Zhang. Before transitioning to machine learning, I was an economics student interested in finance, an accordionist, and a marathon runner.
My hobbies include playing Bayan accordion, running, and road trip.
News
| Jan 21, 2025 | Start my PhD at NYU Courant. Look forward to the journey ahead! 🗽 |
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| Dec 20, 2024 | Our work Multi-objective Reinforcement Learning with Nonlinear Preferences: Provable Approximation for Maximizing Expected Scalarized Return is accepted by AAMAS 2025. |
| Dec 13, 2024 | Our work Fast and Interpretable Mortality Risk Scores for Critical Care Patients is accepted by JAMIA. |
| Aug 12, 2024 | Our work Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion Models is accepted by JAMIA. |
| Apr 28, 2024 | I am honored to receive Alex Vasilos Memorial Award and Graduation with Highest Distinction at Duke University. 🎉 |
| Jan 05, 2023 | Our work Welfare and Fairness in Multi-objective Reinforcement Learning is accepted by AAMAS 2023. This is my first paper! |