Summary
Jason Bedford is a data analyst and former data scientist with 11 years of experience applying statistical and machine learning methods across insurance, genomics, and real-time social media indexing. Based in Santa Monica, he currently translates production data into actionable insights at Farmers Insurance and previously trained deep learning models for geotagged content and object detection at Banjo. As a lead instructor and curriculum contributor at General Assembly, he has a proven ability to make complex concepts accessible and prepare students for industry roles. His academic work in cancer genomics at Yale led to publishable discoveries, reflecting a strong foundation in computational biology and rigorous experimental communication. Known for "crafting clarity from complexity," he combines practitioner-level model development with clear teaching and consulting experience that helps bridge research and business impact.
11 years of coding experience
5 years of employment as a software developer
Master’s Degree, Computational Biology & Bioinformatics, Master’s Degree, Computational Biology & Bioinformatics at Yale University
Associate’s Degree, Associate’s Degree at Santa Barbara City College
Bachelor's Degree, (B.S.) Chemistry, Biochemistry, Bachelor's Degree, (B.S.) Chemistry, Biochemistry at University of California, Santa Barbara