Erdal Cosgun is a Senior Data and Applied Scientist at Microsoft with eight years of experience applying machine learning, data mining, and statistical genetics to genomics and health research. He leads work integrating large language and sequence models with genomic analysis—using RAG and fine-tuning to improve variant annotation—and authors technical blogs and peer-reviewed papers that raise Microsoft’s profile in applied AI for healthcare. His background spans academia and industry, including visiting researcher roles at Seattle Children’s and the Broad Institute, a PhD in Biostatistics, and co-founding an award-winning bioinformatics startup. He has a track record of turning research into customer-facing solutions and partner-ready materials while operationalizing interactive genomics analysis on cloud platforms like Terra/Azure. Less obvious: he blends deep domain knowledge in statistical genetics with practical productization skills, enabling both discovery-grade analyses (e.g., SIDS whole-genome ML studies) and deployable genomics tooling. Based in Redmond, he focuses on bridging cutting-edge computational biology with real-world impact.
8 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD), Biostatistics, Doctor of Philosophy (PhD), Biostatistics at Hacettepe Üniversitesi
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