AI Seminar: Luca Bonomi, Privacy and Machine Learning in Biomedical Applications

The 6th AI seminar of the Fall quarter will take place Monday (Nov 9) from 12pm-12:50pm over Zoom (https://ucsd.zoom.us/j/99067937524). Our speaker is Luca Bonomi.

Title: Privacy and Machine Learning in Biomedical Applications

Abstract: Current health information systems enable the collection of a variety of data (e.g., genetic, environmental, and lifestyle factors) that hold great opportunities for advancing medical research and improving patient care (e.g., GWAS). However, there are significant privacy concerns for sharing these data and enabling data-driven applications (e.g., machine learning), as violations can have consequences (e.g., discrimination). In this talk, I will provide an overview of the differential privacy model, which allows a trusted data aggregator (e.g., hospital) to shared data with rigorous privacy guarantee. Specifically, I will present how the differential privacy model can enable privacy-protecting machine learning tasks and showcase an application for survival analyses.

Speaker Bio: Dr. Luca Bonomi is a postdoctoral researcher at the UCSD Health Department of Biomedical Informatics. His research focuses on developing formal privacy-protecting technology for biomedical data. His research is funded by an NIH K99/R00 Award. Dr. Bonomi holds a Ph.D. in Computer Science and Informatics from Emory University, where he has also received a Graduate Student Research Award for his outstanding research contributions.

FYI: The recording and slides of the previous talks can be found here: https://shangjingbo1226.github.io/teaching/2020-fall-CSE259-AI-seminar