Alice Summer Tang, PhD

Bioengineer, Data and Machine Learning Scientist, and MD/PhD Candidate at UCSF and UC Berkeley

About Alice

I am a bioengineer, data and machine learning scientist, and MD/PhD candidate at UCSF. My work focuses on leveraging large-scale clinical and multimodal data with computational methods to understand disease heterogeneity, predict patient outcomes, and uncover novel therapeutic insights. I am passionate about solving pressing challenges in medicine, particularly in dermatology, dementia, and women's health. My goal is to bridge the gap between data science, technological advances, and clinical practice to improve health care access, expand health literacy, and advance personalized medicine applications.

Education

University of California, San Francisco

MD/PhD, Bioengineering (Joint with UC Berkeley)

Dissertation Advisor: Dr. Marina Sirota

View Dissertation

2018 – Present

University of California, Los Angeles

B.S. Bioengineering, Minor in Mathematics, Summa Cum Laude

2014 – 2018

Awards

  • Chinese American Physicians Society Scholarship (2025)
  • American Medical Informatics Association Edward H. Shortliffe Doctoral Dissertation Award (2024)
  • Funding:UCSF Discovery Fellowship (2022)
  • Funding:NIH National Institute of Aging F30 Fellowship (2022)
  • Edward K. Rice Outstanding Undergraduate Student Award (2019)
  • UCLA HSSEAS School-Wide Outstanding Bachelor of Science Award (2018)
  • UCLA Bioengineering Departmental Outstanding Bachelor of Science Award (2018)
  • UCLA Faculty Women’s Club Award (2017)

Talks

News