Summary
Ehsan Tabari is a multidisciplinary leader blending 11 years of commercial software engineering with 6+ years focused on sequencing-first diagnostics and applied machine learning in health. Currently Associate Director of Machine Learning and Bfx at Natera, he has led cross-functional teams to build ctDNA analysis pipelines, collaborate with pharma partners, and deliver production ML models that bridge research and clinical utility. His background spans hands-on bioinformatics research (operon prediction, asRNA discovery) to enterprise engineering leadership, giving him rare fluency across algorithms, cloud-scale compute, and product delivery. He has repeatedly scaled teams and platforms—from founding a 50-person web dev shop to directing computational biology groups at Freenome and Roche—while keeping a scientist’s curiosity, evident in publications and conference presentations. Based in San Francisco, he is a multilingual developer and “alive scientist” who thrives at the intersection of biology, data, and software.
11 years of coding experience
27 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Information Technology (Bioinformatics), Doctor of Philosophy (Ph.D.) Information Technology (Bioinformatics) at University of North Carolina at Charlotte
Master’s Degree Computer Science, Master’s Degree Computer Science at University of Tehran
Bachelor’s Degree Computer Software Engineering, Bachelor’s Degree Computer Software Engineering at Shahid Beheshti University
English, Persian