Nil Sahin is a Senior Data Scientist with a decade of experience applying machine learning and computer vision to drug discovery and phenotypic profiling. After a PhD at the University of Toronto where he developed automated microscopy pipelines and published multiple biology and methods papers, he transitioned to industry building scientific software for drug discovery at Cyclica and now Recursion. He combines hands-on computational science—image analysis, bioinformatics for mutational signatures, and scalable analysis pipelines—with domain expertise in molecular genetics. Known for turning experimental screens into reproducible software and insights, he bridges wet-lab findings and production ML models to accelerate target identification. Based in Toronto, he brings both academic rigor and startup agility, having navigated an acquisition while scaling scientific tools into company-wide platforms.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BS), Biological Sciences and Bioengineering, Bachelor of Science (BS), Biological Sciences and Bioengineering at Sabanci University
Doctor of Philosophy (Ph.D.), Molecular Genetics, Doctor of Philosophy (Ph.D.), Molecular Genetics at University of Toronto
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