Narbe Mardirossian
Chief Technology Officer at Terray Therapeutics
Los Angeles, California, United States
Summary
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Senior🎓
Top SchoolNarbe Mardirossian is a CTO and computational scientist with nine years of industrial and academic experience accelerating small-molecule drug discovery through machine learning, quantum chemistry, and cloud-scale high-performance computing. At Terray Therapeutics he scaled teams and platforms that translate QM-quality predictions into virtual screening and lead optimization workflows, after leading similar efforts at Amgen. His research track record includes developing novel reduced-scaling electronic structure algorithms, machine-learned double-hybrid density functionals, and quantum machine learning models that make high-accuracy QM properties affordable at scale. He pairs deep domain expertise from a PhD in quantum chemistry with practical engineering—building AWS Batch pipelines and productionized ML-driven molecular generators—for end-to-end discovery impact. Notably, he automated massive code generation (350k+ LOC) to implement hundreds of functionals in production quantum chemistry software, showing a rare blend of scientific creativity and large-scale software engineering. Based in Los Angeles, he focuses on making fully quantum mechanical insights usable across drug discovery, not just as research artifacts but as production decision tools.
9 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Quantum Chemistry, Doctor of Philosophy (Ph.D.) Quantum Chemistry at University of California, Berkeley
English, German
Github Skills (10)
chemistry10
materials-informatics10
python9
quantum-chemistry9
quantum-computing9
binding6
computational-chemistry4
simulations1
simulation1
water1
Programming languages (2)
Github contributions (5)
nmardirossian/PySCF_Tutorial
Mar 2018 - Apr 2018
Contributions:20 commits, 19 pushes, 1 branch in 1 month
nmardirossian/Cubic_MP2J
Jan 2018 - May 2018
Contributions:48 pushes, 5 branches in 4 months
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