Dr. Zhi Huang

Assistant Professor

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Biography

Zhi Huang is a tenure-track assistant professor at the University of Pennsylvania, with a primary focus on the Perelman School of Medicine in the Department of Pathology & Laboratory Medicine and a secondary affiliation in the Department of Biostatistics, Epidemiology, and Informatics. He received his PhD in Electrical and Computer Engineering from Purdue University in August 2021 and is currently a postdoctoral fellow at Stanford University, where he works under the guidance of Professors James Zou and Thomas Montine. His research utilizes artificial intelligence and machine learning to innovate applications in medicine, particularly in areas such as vision-language foundation models in pathology, human-AI collaboration, and neurodegenerative diseases. Zhi's impactful research has drawn significant public interest and resulted in translational innovations, including co-founding nuclei.io, a human-in-the-loop AI platform focusing on digital pathology. He actively collaborates with talented students and researchers to advance the field of AI in healthcare.

Research Interests

Experience

Postdoctoral Fellow

2021-09-01 — 2024-06-30

Stanford University • Stanford, CA

Conducting research in artificial intelligence and machine learning applications in medicine.

Assistant Professor

2025-01-01 — Present

University of Pennsylvania • Philadelphia, PA

Tenure-track faculty position focusing on AI applications in pathology and digital health.

Requirements for University of Pennsylvania

Doctorate Program
Requirements
GPA Requirement
Required:3.6
GRE General
Verbal
Required:162
Quantitative
Required:162
Overall
Required:162
GMAT
Total Score
Required:728
Overall
Required:728
TOEFL
Total
Required:115
Prerequisites
Bachelor's degree or equivalent Strong quantitative background
Application Checklist
  • Academic Transcripts
  • Letters of Recommendation (2-3)
  • Resume/CV
  • Statement of Purpose
  • Essays
Specialization Notes

Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.