Summary
Esha Datta is a Senior Data Scientist in the San Francisco Bay Area with a decade of experience applying machine learning and computer vision to healthcare, especially neuroimaging for neurological disorders like multiple sclerosis. After earning a PhD in bioengineering from UCSF/UC Berkeley and an Insight Data Science fellowship, she transitioned from mechanical design engineering into data science roles at Clover Health, One Medical, and now Lyra Health, where she focuses on AI and research. Her work blends rigorous academic research—her thesis on spinal cord imaging—with product-oriented impact on clinical effectiveness and care delivery. She also retains a hands-on maker’s mindset from her product design background, bringing practical prototyping and design thinking to complex modeling problems.
9 years of coding experience
17 years of employment as a software developer
MS Mechanical Engineering, MS Mechanical Engineering at University of California, Berkeley
Doctor of Philosophy (PhD) UCSF / UC Berkeley Joint Graduate Program of Bioengineering, Doctor of Philosophy (PhD) UCSF / UC Berkeley Joint Graduate Program of Bioengineering at University of California, San Francisco
BS Mechanical Engineering Mathematics, BS Mechanical Engineering Mathematics at Stanford University