Yang Yuan

I work on AI+healthcare, AI theory and applied category theory. I want to build a new healthcare system guided by category theory.

In AI + healthcare, I work on the following three directions:

1. Traditional Chinese Medicine (TCM) Assisted Diagnosis System: according to clinical data, our system can provide prescriptions similar or identical to the experienced TCM practitioners in many cases.

2. Pulse Diagnosis: based on pulse information, we infer the patient's physical and mental state, including insomnia, anxiety, bloating, fatigue, etc.

3. Drug Discovery: unlike the approach of targeted drugs, we combine TCM theory with category theory, aim to find compound prescriptions for certain syndromes, with the help of foundation models.

The advancement of AI + healthcare is inseparable from mathematics. To better build an assisted diagnosis system, I learned category theory. I found that it can not only be used to analyze and understand complex systems but also to characterize the power of foundation models and design new algorithms. Therefore, I am also very interested in the applications of category theory in AI.

I did my PhD at Cornell University, advised by Professor Robert Kleinberg. After graduation, I spent one year at MIT as a postdoc. I did my undergraduate at Peking University, and I was born in Changzhou.

My CV and Google Scholar page.