Summary
Shayan Fazeli is a Lead Data Scientist with nine years of experience applying machine learning and representation learning to healthcare data, currently leading data science efforts at Kaiser Permanente after progressing from Senior Data Scientist. He completed a PhD in Computer Science at UCLA while researching eHealth analytics and spent several summers building unsupervised patient representations, trajectory models, and automated clinical note analysis for CliniComp. Comfortable moving research into production, he blends deep technical expertise in ML with domain knowledge of electronic health records to deliver interpretable, actionable solutions for clinical settings. Based in Los Angeles, he pairs rigorous academic training and applied product experience, often focusing on high-dimensional visualization and task-metric exploration to make complex models useful for clinicians.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, Los Angeles
Bachelor’s Degree, Double Major in Electrical Engineering and Computer Science, Bachelor’s Degree, Double Major in Electrical Engineering and Computer Science at Sharif University of Technology