Nakul Upadhya
8135 Bahen Center
40 St George St
Toronto, ON M5S 2E4
Hi! I’m Nakul Upadhya and I’m a Doctoral Candidate at The University of Toronto in the Optimization and Machine Learning (OptiMaL) Lab at the University of Toronto under Professor Eldan Cohen. My research focuses on developing inherently interpretable machine learning models for tabular and time-series data, with applications in manufacturing and healthcare.
News
| Sep 18, 2025 | Our work “Empowering Decision Trees via Shape Function Branching” has been accepted to appear at NeurIPS 2025  ! Read more here. |
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| Jul 04, 2024 | Our work “NeurCAM: Interpretable Neural Clustering Via Additive Models” has been accepted to appear at ECAI 2024 !. |
Selected Publications
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Empowering Decision Trees via Shape Function BranchingAdvances in Neural Information Processing Systems, 2025