Sebastian Paez is a data scientist specializing in computational biology and cancer research, currently applying ML and statistical methods at Talus Bio in Seattle. He holds a PhD in Oncology and Cancer Biology from Purdue and brings a biologist’s perspective to data-driven storytelling, translating complex experiments into actionable insights. His work includes developing a custom R package for single-cell sequencing analysis and contributing to open-source projects as a frequent reviewer for the Journal of Open Source Software. A seasoned cross-disciplinary collaborator, he combines cancer biology expertise with computational mass spectrometry and open-source tooling to advance biomedical discovery. In his spare time he enjoys woodworking, reflecting a pragmatic, hands-on approach to problem solving, and he has about a decade of experience across academia and industry.
10 years of coding experience
1 year of employment as a software developer
Biologist, Biology/Biological Sciences, General, Biologist, Biology/Biological Sciences, General at Universidad Nacional de Colombia
Doctor of Philosophy - PhD, Oncology and Cancer Biology, Doctor of Philosophy - PhD, Oncology and Cancer Biology at Purdue University
Contributions:3 PRs, 122 pushes, 6 branches in 1 year 10 months
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