NIH R21, "Novel threat detection methodology to detect HIV outbreaks in Washington”
Overall Information
NIH R21 (09/2022–08/2024): statistical and machine learning methods for rapid detection of HIV transmission clusters and outbreaks using surveillance network data (team: Sarah Holte, Roxanne P. Kerani, Yajun Mei; Co-I).
Hao Yan
Associate Professor in School of Computing and Augmented Intelligence
My research develops machine learning methods for high-dimensional, spatio-temporal, and sequential data, including reinforcement learning, generative models, anomaly detection, and causal and tensor-based learning.