
Lesia Semenova
Trustworthy AI. Interpretable Machine Learning.
Assistant Professor at Rutgers University
New York Metropolitan Area
E-mail: lesia.semenova [at] rutgers.edu
I am a computer scientist currently working as an Assistant Professor in the Department of Computer Science at Rutgers University. Previously, I was a postdoctoral researcher at Microsoft Research, NYC, and I received my doctorate from the Department of Computer Science 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 that facilitate informed decision-making in high-stakes domains, as well as in theoretically explaining phenomena that we often observe in practice.
Before joining Duke, I worked for two years on the Augmented Reality team at the Samsung Research and Development Institute in Ukraine. I received both my M.S. and B.S. in Applied Mathematics from 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 and received an Outstanding Thesis Award from Duke University.
Recent News
Sep 01, 2025 | I am excited to be starting a new position as Assistant Professor in the Department of Computer Science at Rutgers University. Looking forward to continuing research and teaching in responsible and trustwothy AI. |
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Aug 06, 2025 | I presented at the JSM Annual Meeting in Nashville. We prove that simple, interpretable models can often achieve accuracy comparable to complex ones, which has implications for AI policy. |
Jul 31, 2025 | Our paper on evaluating equitable transit subsidy programs has been accepted to Harvard Data Science Review. We propose an interpretable causal inference pipeline to study long-term ridership impacts of King County Metro’s Programs. |
May 28, 2025 | I have been selected as a Top Reviewer at ICML 2025. |
Feb 17, 2025 | New preprint! We identified distinct immune profiles in people with HIV on ART, linked to CD4:CD8 ratio (a key marker of immune recovery). Our work is now on bioRxiv. |
Jan 06, 2025 | Congratulations to Harry Chen for being selected as a finalist for the 2024-2025 Outstanding Undergraduate Researcher Award from the Computing Research Association! |
Dec 15, 2024 | Presented at 18th International Joint Conference CFE-CMStatistics 2024. |
Dec 12, 2024 | Our paper Fast and Interpretable Mortality Risk Scores for Critical Care Patients has been accepted to JAMIA. Congrats to Tony and Chloe! |
Nov 12, 2024 | I received the PhD Dissertation Award from the Department of Computer Science at Duke University. |
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! |