Hoifung Poon

Hoifung Poon is General Manager at Microsoft Health Futures and affiliated faculty at University of Washington Medical School. He leads Real-World Evidence (RWE) research focusing on AI applications for precision health. Poon earned a B.S. with Distinction in Computer Science from Sun Yat-Sen University and a Ph.D. in Computer Science and Engineering from University of Washington.

• Specializes in biomedical AI research
• Focuses on structuring unstructured medical data
• Co-PI for DARPA Big Mechanisms projects

Research strength lies in biomedical multimodal learning (text, radiology, pathology, genomics) and causal learning for real-world evidence generation. His team develops methods for LLM self-verification, multi-modal fusion, and biases correction in observational data. Publications show expertise in Nature, Nature Methods, and NEJM AI, covering topics from digital pathology to clinical text analysis.

Scientific recognition includes:

• Best Paper Awards at NAACL, EMNLP, and UAI
• Winner of ACM Health Best Paper Award
• Named Technology Champion 2022 by Puget Sound Business Journal