Vahe Gharakhanyan
Research Engineer FAIR at Meta
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolVahe Gharakhanyan is a research engineer at Meta FAIR specializing in ML- and quantum-guided inverse design of materials, with a focus on applications like batteries, recycling, and sustainable materials. With five years of experience spanning Google X, Columbia, and Berkeley, he blends deep academic training (PhD work on high-temperature materials thermodynamics) with moonshot-style applied research in generative models for materials and molecular discovery. He builds production-relevant ML systems informed by first-principles simulation (DFT) and has taught computational and atomistic simulation courses, highlighting an ability to communicate complex methods to diverse audiences. Based in San Francisco, he pursues scalable, societally impactful solutions at the intersection of machine learning, quantum computation, and materials science, and maintains a public portfolio at gvahe.github.io.
5 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Materials Science Chemical Engineering Minor Electrical Engineering and Computer Science, Bachelor of Science - BS Materials Science Chemical Engineering Minor Electrical Engineering and Computer Science at University of California, BerkeleyDoctor of Philosophy - PhD Materials Science and Engineering, Doctor of Philosophy - PhD Materials Science and Engineering at Columbia University
Armenian, Russian, English
Github Skills (6)
materials-informatics9
computational-chemistry9
chemistry9
slurm2
tui1
rust1
Programming languages (2)
Github contributions (5)
gvahe/gvahe.github.io
Jul 2021 - Oct 2024
Contributions:53 pushes, 1 branch, 1 comment in 3 years 3 months
gvahe/gvahe
Apr 2023 - Jun 2024
Contributions:6 pushes, 1 branch in 1 year 2 months
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