I am a PhD student in the joint program of the Materials Science and Engineering department (DMSE) and 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.

Research questions I am currently drawn to involve learning representations and incorporate structure in learning algorithms that facilitate out-of-distribution (OOD) generalization for materials.

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

News

[Dec 2024] Presenting our work on OOD Generalization for Materials and Molecules data at AI4Mat at NeurIPS.
[Dec 2024] Presenting our work on OOD Generalization for Materials and Molecules at MRS.
[Oct 2024] Our paper on OOD Generalization for Materials data has been accepted to the AI4Mat Workshop at NeurIPS 2024 as a Spotlight Talk.