Assistant Professor - Lane Department of Computer Science and Electrical Engineering
Gyawali research interests lie within the broad area of machine learning for healthcare. More specifically, his research spans unbiased, fair, and explainable ML. He is also interested in generative AI and multimodal AI and their implications in various domains, including health and medicine. Prior to joining LCSEE, he was postdoctoral scholar at School of Medicine, Stanford University.
Education
Ph.D., Computing and Information Sciences, Rochester Institute of Technology, 2021
B.E., Electronics and Communication, Institute of Engineering (Pulchowk Campus), Tribhuwan University, 2014