Back

Speaker "Yannet Interian" Details Back

 

Topic

Abstract

Profile

Yannet is an Assistant Professor at University of San Francisco. Her research interests are applying machine learning and deep learning to medical data. She holds a PhD in Applied Mathematics from Cornell University and a BS in Mathematics from the University of Havana, Cuba. She was a postdoctoral fellow at UC Berkeley. She worked for five years as a Data Scientist at Google. She co-founded Akualab, a start-up that helped organizations develop data-driven products using machine intelligence. She has designed data science courses for Berkeley and USF and is currently teaching full time for USF's Master's in Data Science program.