An M.D. and Ph.D. candidate at UC San Francisco, Alice Tang uses artificial intelligence to help understand and diagnose complex diseases like Alzheimer’s. Tang is on her way to earning degrees from three UCs: her bachelor’s from UCLA, a Ph.D. from the UCSF/UC Berkeley joint bioengineering program, and an M.D./Ph.D. from UCSF’s Medical Scientist Training Program.
Credit: Susan Merrell/UCSF
Originally from UC Newsroom
Who’s leading the way for the next generation across AI, entrepreneurship, science and more? Fifty-eight members of the UC community [and one member was an alum from the UCLA Bioengineering department], according to the 2026 Forbes “30 Under 30” list, which features alumni and faculty from seven campuses whose passions and promise are shaping the future.
The awards span 20 categories of 30 honorees each across the arts, technology and social impact. Candidates were evaluated by Forbes staff and a panel of independent, expert judges on a variety of factors, including funding, revenue, social impact, scale, inventiveness, and potential — along with being 29 or younger as of December 31, 2025 (read the full methodology).
Alice Tang (UC San Francisco, UCLA, UC Berkeley)
Alice Tang uses AI to analyze millions of health records for better diagnostics and personalized therapies, including for Alzheimer’s and autoimmune disorders. Her method has helped uncover novel insights into disease, including that dementia presents differently in men and women. The hope is to produce better diagnostics and personalized therapy across a wide spectrum of disorders. A physician, engineer and scientist, her publications in Nature Aging, Nature Medicine and Science Translational Medicine have been cited more than 800 times.