Summary
Hakan Ozadam is a computational biologist and bioinformatician with a PhD in mathematics and over a decade applying math, statistics, and software engineering to genomics and RNA biology. He builds scalable NGS pipelines, custom algorithms, and production-ready tools that process massive datasets and underpin AI/ML model development for therapeutic discovery. His experience spans academic and industry roles—from postdoctoral and research scientist positions to senior scientist leadership at Sail Biomedicines—bridging interdisciplinary teams of ML scientists, immunologists, and molecular biologists. Notable research contributions include gene expression, RNA splicing, RNA–protein interactions, 3D genome folding, and translation, often translating complex analyses into actionable biological insights. He is based in Austin and combines rigorous mathematical training with hands-on workflow engineering to accelerate drug discovery. An underrated strength is his ability to turn exploratory genomics research into reproducible, scalable pipelines that become the foundation for downstream ML and experimental validation.
10 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (PhD), Mathematics and Computer Science, Doctor of Philosophy (PhD), Mathematics and Computer Science at Middle East Technical University
Postgraduate Degree, Biomathematics, Bioinformatics, and Computational Biology, Postgraduate Degree, Biomathematics, Bioinformatics, and Computational Biology at UMass Chan Medical School
English