Pouya Kheradpour is a Staff Data Scientist in the San Francisco Bay Area with over 15 years of expertise at the intersection of computational biology, machine learning, and algorithm development. He has progressed through research and industry roles at MIT, Google, and Verily, translating complex biological questions into scalable computational models and high-throughput analyses. His work spans statistics, experiment design, and production-grade pipelines, backed by a PhD in Computer Science/Computational Biology and a公開 portfolio of publications and code. Known for bridging rigorous academic research with product-focused delivery, he often tackles problems that require both theoretical insight and practical engineering to move assays from data to discovery.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science / Computational Biology, Doctor of Philosophy (Ph.D.), Computer Science / Computational Biology at Massachusetts Institute of Technology
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at University of Illinois Urbana-Champaign
Open-source command-line tool to run batch computing tasks and workflows on backend services such as Google Cloud.
Contributions:7 commits in 5 months
command-line-toolgcpslurmpythonbackend-services
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