Kang Zhang | |
|---|---|
| Born | |
| Education | M.D., Harvard University Medical School (1995) Ph.D. (Genetics), Harvard University (1991) |
| Medical career | |
| Profession | Ophthalmologist |
| Institutions | Macau University of Science and Technology |
| Sub-specialties | Ophthalmic genetics Stem cell research Artificial intelligence |
| Website | kangzhangmd |
Kang Zhang (Chinese: 张康) is a Chinese-American ophthalmologist specializing in ophthalmic genetics and aging processes in the eye. He is currently a professor of the Faculty of Medicine at Macau University of Science and Technology. He was previously a professor of ophthalmology and the founding director of the Institute for Genomic Medicine at the University of California, San Diego. He subsequently moved to China and continues his research, which includes work on lanosterol. stem cell research (particularly limbal stem cells), gene editing, and artificial intelligence.
Born in Chengdu, Sichuan Province, China, Zhang obtained his B.S. in Biochemistry from Sichuan University in Chengdu, China in 1984. In 1991, Zhang graduated with a Ph.D. in Genetics from Harvard University. Subsequently, Zhang obtained his M.D. from a Harvard University Medical School and Massachusetts Institute of Technology Joint M.D. Program with magna cum laude honors in 1995.
After completing an ophthalmology residency at the Wilmer Eye Institute at Johns Hopkins University, Zhang became assistant staff at the Cole Eye Institute at the Cleveland Clinic Foundation. Zhang completed a retina fellowship at the University of Utah, and afterwards became an assistant professor at the University of Utah from 2002 to 2006.
In 2012, following an anonymous complaint, the UCSD Institutional Review Board (IRB) suspended enrollment in Zhang's research studies. After an internal review, the research was permitted to resume.
In 2013, Zhang, along with Trey Ideker, identified that the molecular aging clock could be measured by blood and tissues, and made use of epigenetic markers.
In 2014, Zhang, along with Yizhi Liu and Xiangdong Fu, investigated mechanisms and developed a new method of limbal stem cell repair and regeneration.
In 2015, Zhang discovered that lanosterol can be used in eyedrop form to help prevent cataracts.
In 2017, the FDA issued a warning letter to Zhang citing violations in his oversight of human research studies and restricted him from serving as a principal investigator on such studies. The letter referenced issues dating back to 2012. Subsequently, a UCSD internal audit identified what it described as shortcomings in Zhang's research practices.
In 2018, Zhang was senior author of a study in Cell describing a deep-learning system that classified retinal optical coherence tomography images to identify macular degeneration and diabetic macular edema.
In 2019, a clinical trial in China involving Zhang prompted a letter from international doctors questioning its ethics and methodology. Around the same time, media reports noted his undisclosed ties to a Chinese ophthalmology company. UCSD placed Zhang on administrative leave; he later resigned. Zhang's lawyer said the leave and investigation stemmed from the 2017 FDA warning, not ties to China. he wasn't charged to have committed any wrongdoing related to his research ties to China. After leaving UCSD, he joined the Faculty of Medicine at Macau University of Science and Technology. The same year he joined Macau University of Science and Technology, where he holds faculty and administrative roles including Director of the Macau Institute for AI in Medicine.
In 2021, Zhang and colleagues published a study in Nature Biomedical Engineering demonstrating that deep‑learning models could detect chronic kidney disease and type 2 diabetes from retinal fundus images, with potential applications in resource‑limited settings. In 2023, he was profiled in Cell Reports Medicine, where he described his work on multi‑modal artificial intelligence and was listed as a Clarivate Highly Cited Researcher in Cross‑Field for 2019–2022. He was appointed Vice President of Macau University of Science and Technology in 2024. In 2026, he co‑authored a paper in npj Digital Medicine describing an AI model for personalized prediction of myopia progression in children.
Zhang and colleagues proposed and implemented MetaGP, a generative medical foundation model that integrates large-scale electronic health records with multimodal medical imaging, in 2025. Zhang, together with Jia Qu, also developed MINIM, a general-purpose large-scale generative synthetic medical image model, in 2025.
In 2026, Zhang, together with Shanshan Wang, developed AFLoc, a pathology vision–language model capable of lesion localization.
Some of Kang Zhang's selected awards are listed below.
Kang Zhang's professional affiliations are listed below.
To date, Zhang has published more than 150 papers. Some selected publications are listed below.
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