Oded Regev
Silver Professor · New York University · New York University
Quick answer: Oded Regev is Silver Professor at New York University. Oded Regev shows an active PhD hiring signal as of 2026-09-11.
⭐ We are hiring! Undergraduate, graduate students, and wet lab postdocs with interest in using machine learning in biological sciences should apply. Strong drive is a must.
Research interests
How can we use machine learning to discover new biology and suggest novel therapeutic approaches? In our wet lab, we generate massive biological datasets containing millions of measurements, which we later use in the dry lab to train interpretable machine learning models. This approach yields trustworthy models that provide insights into biological processes and suggest potential therapeutic designs. This is in contrast to typical 'black box' machine learning models which do not help advance our understanding of biology. By designing our models with interpretability in mind, we are able to 'observe' molecular processes such as RNA processing or translation at the level of individual protein-nucleic acid interactions, resulting in novel models. My other work is in mathematics, cryptography, and quantum computation. My main contribution there is to lattice-based cryptography, and specifically the Learning With Errors problem, forming the basis of post-quantum cryptography.
Selected publications (since 2023)
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<span class="papertitle">GlintID: An Interpretable Model for Deciphering
Combinatorial Regulatory Logic in Biological Sequences</span><br><b>Simon Liu*</b>, <b>Arush Ramteke*</b>, <b>Oded Regev</b><br> In submission, 2026.
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<span class="papertitle">Interpretable Distillation Reveals that Deep-learning-based Splicing Models Suffer from Pervasive Confounders and Blind Spots</span> (<a href="https://doi.org/10.1101/2025.11.28.691252">link</a>)<br><b>Simon Liu</b>, <b>Wenjing Zhang</b>, <b>Oded Regev</b><br> In revision, 2026.
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<span class="papertitle">RNA localization to nuclear speckles follows splicing logic</span> (<a href="https://doi.org/10.1093/nar/gkag174">link</a>)<br>Li Wen†, <b>Mauricio A. Arias†</b>, Xinqi Fan, Joyce Xie, Sneha Paul, <b><a href="https:
Frequently asked questions
Is Oded Regev hiring PhD students at New York University?
Yes. As of 2026-09-11, Oded Regev's faculty page shows a PhD hiring signal: We are hiring! Undergraduate, graduate students, and wet lab postdocs with interest in using machine learning in biological sciences should apply. Strong drive is a must..
What does Oded Regev research?
How can we use machine learning to discover new biology and suggest novel therapeutic approaches? In our wet lab, we generate massive biological datasets containing millions of measurements, which we later use in the dry lab to train interpretable machine learning models. This approach yields trustw
Data last updated: 2026-09-11 · Source: phd-match.com faculty database.
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