frazierhuo [at] gmail [dot] com
My name is Zepeng (Frazier) Huo. I'm currently a Postdoc at Stanford University under Shah Lab, conducting research for Foundation Models for Medicine. I earned my Ph.D degree from Texas A&M University under STMI Lab, majoring in Computer Science.
My research is towards Knolwdge-based Intelligence for Well-being Informatics (KIWI). I believe AI should be used for the wholistic wellbeing and health of human, i.e. AI for good. The approach to that is to have the responsible AI to learn knowledge instead of blindly absorbing data. This requires many cutting-edge research directions of condensing the knowledge from large-scale data through Foundation Models to learn a strong knowledge base, so that we can achieve the goal more towards autonomous machine intelligence for human wellbeing.
The taken methodology can be broadly defined as robust, generalizable and ubiquitous machine learning methods, largely under health informatics applications, by using uncertainty quantification, continual learning, domain adaptation techniques. Lately I have been fascinated by digital twin, physics-informed neural networks (PINNs), neural PDE research. Let's chat if you are interested as well.