Summary
Murat Çobanoğlu is a Staff Bioinformatics Scientist with 11 years of experience applying machine learning and statistical methods to healthcare and oncology problems, now working at Natera after leading LLM-driven EHR analysis at Exact Sciences. He has a strong track record of translating research into production gains—reducing an LLM pipeline runtime from 16 hours to 5 minutes while boosting usable outputs from 37% to 91% and markedly improving sensitivity and specificity. His background spans founding a startup and running an independent lab at UT Southwestern where ML-guided drug discovery led to two cancer drug candidate patents and multiple algorithmic innovations in segmentation, dimensionality reduction, and latent transcription factor inference. Comfortable across TensorFlow, HuggingFace, Databricks, and classic bioinformatics toolkits, he bridges research rigor and production engineering in regulated assay and real-world evidence settings. An oft-overlooked strength is his cross-domain fluency—from compression algorithms with patent filings to end-to-end assay validation—enabling creative solutions at the intersection of ML, genomics, and clinical data.
11 years of coding experience
2 years of employment as a software developer
International Baccalaureate (IB), International Baccalaureate (IB) at TED Ankara College High School
Doctor of Philosophy (Ph.D.), Computational Biology, Doctor of Philosophy (Ph.D.), Computational Biology at Carnegie Mellon University, University of Pittsburgh
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Sabancı Üniversitesi
Turkish, English, French