Scholar
Vahe Gharakhanyan
Google Scholar ID: EGbXN4sAAAAJ
FAIR, Meta | Prev. @ Google X, PhD at Columbia University
Citations & Impact
Citations
215
H-index
6
i10-index
5
Publications
20
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- - Wood, B.M., Dzamba, M., Fu, X., Gao, M., Shuaibi, M., Barroso-Luque, L., Abdelmaqsoud, K., Gharakhanyan, V. et al. (2025). UMA: A Family of Universal Models for Atoms. arXiv preprint arXiv:2506.23971
- - Levine, D.S., Shuaibi, M., Spotte-Smith, E.W.C., Taylor, M.G., Hasyim, M.R., Michel, K., Batatia, I., Csányi, G., Dzamba, M., Eastman, P., Frey, N.C., Fu, X., Gharakhanyan, V. et al. (2025). The Open Molecules 2025 (OMol25) Dataset, Evaluations, and Models. arXiv preprint arXiv:2505.08762
- - Zhou, J., Huang, Y., Boromand, A., Noori, K, Purvis, L., Oh, C., Lu, L., Ulissi, Z.W., Gharakhanyan, V.* et al. (2025). Genetic algorithm-accelerated computational discovery of liquid crystal polymers with enhanced optical properties. arXiv preprint arXiv:2505.13477
- - Joshi, C.K., Fu, X., Liao, Y.L., Gharakhanyan, V. et al. (2025) All-atom diffusion transformers: Unified generative modelling of molecules and materials. [Spotlight at AI for Materials (AI4Mat) workshop at The 13th International Conference on Learning Representations (ICLR 2024) and accepted to The 42nd International Conference on Machine Learning (ICML 2025)]
Research Experience
- - Research Engineer at Meta, FAIR Chemistry team (current position)
- - AI Resident at Google X (previous position)
- - Conducted research on high-temperature thermodynamics and materials representation learning at Columbia University
- - Undergraduate research on charged defect thermodynamics at UC Berkeley
Education
- - Ph.D. in Materials Science and Engineering from Columbia University (2019-2024), Advisor: Alexander Urban
- - B.S. in Materials Science and Engineering and Chemical Engineering from the University of California, Berkeley (2015-2019), Advisor: Mark Asta
Background
- Research interests include new materials and molecular design and discovery using machine learning and computational simulations. Specializes in Materials Science and Engineering.
Miscellany
- Besides work, he enjoys playing chess, traveling, learning his fourth language (Can you guess the three languages that he knows?), and spending time with people he loves.
