Lesia Semenova
Trustworthy AI. Interpretable Machine Learning.
Postdoctoral Researcher at Microsoft Research
Upcoming Assistant Professor at Rutgers University
New York, NY
E-mail: lesia.semenova [at] rutgers.edu
I am a computer scientist currently working as a postdoctoral researcher at Microsoft Research, NYC. In Fall 2025, I will join the Department of Computer Science at Rutgers University as an Assistant Professor. I received my doctorate from the Computer Science Department at Duke University. My research interests span machine learning, responsible and trustworthy AI, interpretability, human-centered design, AI in healthcare, reinforcement learning, and reasoning. I am especially interested in developing tools and pipelines to facilitate informed decision-making in high-stakes decision domains, as well as theoretically explaining phenomena that we often observe in practice.
Before joining Duke, I worked for two years on the Augmented Reality team at Samsung Research and Development Institute Ukraine. I received my M.S. and B.S. in Applied Mathematics from the Taras Shevchenko National University of Kyiv, Department of Computer Science and Cybernetics. I was selected as one of the 2024 Rising Stars in Computational and Data Sciences.
I am currently recruiting students at Rutgers. If you're interested in collaborating or joining my group, please take a look at this page.
Recent News
| Nov 12, 2024 | I received the PhD Dissertation Award from the Department of Computer Science at Duke University. |
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| Nov 08, 2024 | I will serve as a mentor at WiML Workshop at NeurIPS 2024 . Come join us! |
| Nov 07, 2024 | I will attend AI-Mediated Society Mixer at Rutgers University on November 20. |
| Oct 20, 2024 | Presented the density trees and lists paper at the 2024 INFORMS Annual Meeting. I also chaired a session on interpretable ML. |
| Sep 25, 2024 | Our paper on Using Noise to Infer Aspects of Simplicity Without Learning was accepted to NeurIPS 2024. |
| Sep 05, 2024 | Presented at the Theory of Interpretable AI Seminar. Please see the recording here. |
| Aug 02, 2024 | We are organizing a NeurIPS 2024 workshop on Interpretable AI. Our topics span from classical interpretability to modern methods for foundation models and mechanistic interpretability. |
| Jul 26, 2024 | Presented at the 25th International Symposium on Mathematical Programming at Montreal, Canada. |
| Jul 01, 2024 | I started my postdoctoral research position at Microsoft Research, NYC. |
| Jun 12, 2024 | Our position paper Amazing Things Come From Having Many Good Models was selected as a spotlight-designated paper at the ICML 2024. |
| May 14, 2024 | Presented at the AI/ML seminar for the Johns Hopkins Applied Physics Lab. |
| Mar 07, 2024 | I was named as one of the 2024 Rising Stars in Computational and Data Sciences. |
| Jan 24, 2024 | Congratulations to Dennis Tang and Harry Chen for being selected for Honorable Mention for the 2023-2024 Outstanding Undergraduate Researcher Award from the Computing Research Association! |