In this episode, Aanya Gupta shares how her original goal of becoming a doctor evolved as she discovered coding, engineering, and computational public health. She discusses developing agent-based models to study vaccine uptake and disease spread, using synthetic data to estimate chronic disease prevalence, and experiencing the iterative process of turning research into published work.

She also reflects on working with clinicians and a patient through Stanford’s Clinical Science, Technology and Medicine internship, where her team developed an assistive robotic system that helped a woman with rheumatoid arthritis knit again. Aanya dives into studying quantum software through MIT Beaver Works, presenting technical research to hundreds of researchers and industry professionals, and exploring artificial intelligence as a software intern at Rayth ...