Oleg Sobolev is a computational research scientist based in Berkeley with 12 years of experience applying biophysics, structural biology, and computational methods to biological problems. He holds a Ph.D. in Biophysics and combines strong programming and data-analysis skills with a track record of method development from roles at the Institute of Mathematical Problems of Biology and Lawrence Berkeley National Laboratory. At Berkeley Lab he progressed from postdoc to project scientist and now leads computational research efforts, bridging rigorous academic inquiry with mission-driven lab science. Oleg’s background in applied mathematics and computer science gives him an uncommon blend of theoretical modeling and practical software-savvy, enabling reproducible pipelines for structural and bioinformatics analyses. He thrives on translating complex molecular questions into scalable computational solutions that inform experimental work.
12 years of coding experience
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at Izhevsk State Technical University (ISTU)
Doctor of Philosophy (Ph.D.), Biophysics, Doctor of Philosophy (Ph.D.), Biophysics at Institute of Mathematical Problems of Biology of Russian Academy of Sciences
Master of Science (MS), Applied mathematics and informatics, Master of Science (MS), Applied mathematics and informatics at Pushchino State University
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