Aram Davtyan is a scientific development leader with 12 years of experience at the intersection of computational biophysics, bioinformatics, and drug discovery, currently leading scientific development at Deep Origin in the San Francisco Bay Area. He holds a PhD in Biochemistry, Biophysics and Molecular Biology and has moved seamlessly between academia and industry—postdocs at University of Chicago and Rice followed by applied roles at Atomwise—bringing rigorous multi-scale modeling to practical CADD pipelines. His technical strengths include GPU and MPI high-performance computing, CUDA programming, and coarse-grained modeling of macromolecules, enabling efficient simulation of protein folding and interactions. Aram combines hands-on scientific software development with domain expertise in structural biology and computational chemistry, having contributed to production tools and naming algorithms earlier in his career. Known for translating complex physical models into scalable code, he thrives on bridging theoretical methods and product-focused engineering to accelerate discovery.
12 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD) Biochemistry Biophysics and Molecular Biology, Doctor of Philosophy (PhD) Biochemistry Biophysics and Molecular Biology at University of Maryland
Bachelor's degree Physics, Bachelor's degree Physics at Yerevan State University
Master of Science (M.S.) Biochemistry Biophysics and Molecular Biology, Master of Science (M.S.) Biochemistry Biophysics and Molecular Biology at University of North Carolina at Chapel Hill
Contributions:2 releases, 48 commits, 13 PRs in 6 years 6 months
memoryproteinsmediatedassociative-memorybiology
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Aram Davtyan - Lead Of Scientific Development at Deep Origin