I am a PhD student in the joint program of the Materials Science and Engineering department (DMSE) and the Center for Computational Science (CSE) at MIT advised by Prof. Rafael Gomez-Bombarelli.

I am passionate about developing practical ML tools for materials inverse design, focusing on both predictive and generative strategies.

I’m currently drawn to research questions involving the prediction of crystal structures from spectroscopic data and the design of representation learning models whose algorithmic structure enables better out-of-distribution generalization for materials.

I received my B.Sc. in Materials Science and Engineering at the Technion, supported by the Technnion Rothschild Excellence Fellowship.

News

[Oct 2025] Our work on probing crystal structure–diffraction mapping through a gradient-descent lens was accepted as an Oral Presentation to AI4Mat at Neurips.
[Oct 2025] Our work on using reinforcement learning with energy-based rewards for stable materials generation was accepted to AI4Science at Neurips.
[Sep 2025] Our work on OOD Generalization for Materials and Molecules was accepted to NPJ Computational Materials.
[Dec 2024] Presented our work on OOD Generalization for Materials and Molecules data as a Spotlight Talk at AI4Mat at NeurIPS.