Dimitry Tegunov
Principal Scientist at Genentech
South San Francisco, California, United States
Summary
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Senior🎓
Top SchoolDimitry Tegunov is a Principal Scientist in South San Francisco with 12 years of experience developing computational methods for cryo-electron microscopy and in situ structural biology. He combines rigorous computer science training from TUM with a PhD in Biochemistry/Biophysics from Ludwig-Maximilians-Universität to bridge algorithm development and experimental structural biology. At Genentech he leads method development translating cutting-edge computational tools into workflows that accelerate macromolecular structure determination. His prior work at the Max Planck Institute encompassed research, PhD, and postdoctoral roles where he built expertise in both software engineering and quantitative image analysis. Colleagues rely on him for solving hard inverse problems in cryo-EM data and for integrating theory with practical lab pipelines. He is known for bringing academic rigor to industrial R&D, often implementing optimizations that make computationally intensive analyses tractable in production settings.
12 years of coding experience
4 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 Ludwig-Maximilians-Universität MünchenBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Technical University of Munich
German, English, French, Russian
Github Skills (40)
python10
data-science10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
cytoscape9
microscopy8
regularization8
cytoscapejs8
nvidia8
forge8
network-visualization7
Programming languages (4)
Github contributions (5)
dtegunov/warp
Sep 2015 - Feb 2017
Contributions:9 commits, 7 pushes, 1 branch in 1 year 5 months
dtegunov/cube
Aug 2016 - Mar 2019
Contributions:14 commits, 12 pushes, 1 branch in 2 years 7 months
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