People

PhotoWhoDuties or research interests 

Principal investigator

Zhao

Liang Zhao, PhD, MAS, MBA

[email protected]

Drug development, regulatory science, artificial intelligence 

Postdoctoral Scholars

 
Wang Wei

Wei Wang, PhD

PhD in Biomedical Sciences, University of Macau

[email protected]

Focus on AI assisted pharmacokinetic (especially physiologically-based pharmacokinetic) modeling. 
 

Guanming Chen, PhD

PhD in Medical Sciences, University of Florida

[email protected]

  

Graduate students

Picture of Jonah Frazier

Jonah Frazier

Graduate Student, PhD in PSPG

[email protected]

Agentic workflows for pharmaceutical modeling 
Photo of Blake Masters

Blake Masters

Graduate Student, MS in AICD3

[email protected]

Artificial Intelligence modeling for clinical developments. 

Laboratory staff

 

Sonya Yuechan Chen


Applications Programmer 2

Master of Information and Data Science, UC Berkeley


[email protected]

  
Xin

Shiyang Xin

Applications Programmer 2

MS in AICD3

[email protected]

Advancing drug discovery and development through the integration of AI and computational modeling 
 

Lyuzhou (Alex) Yang


Applications Programmer 

BS in Computer Engineering, UCSD


[email protected]

Developing AI-driven pharmacometric and regulatory modeling pipelines to support data-informed drug development and translational research. 
Photo of Minerva Lee

Minerva Lee

Administrative Director

[email protected]

  

Former lab members

 

Xiaoqiang Xiang, PhD

Specialist

[email protected]

  

Eden Chun

Academic Program Development Volunteer

[email protected]

Proposal writer for upcoming graduate programs in regulatory science. Now PhD student in PSPG 
 

Nathan Dang, PharmD

Program Administrator, UCSF-Stanford CERSI

(2024-2025)
Strategic and programmatic support for the Zhao Lab and Center for Regulatory Science and Innovation (CRSI)
Program Administrator for the UCSF-Stanford Center of Excellence in Regulatory Science and Innovation (CERSI)
 
Yeoh

Isaac Yeoh

Graduate Student, MS in AICD3

[email protected]

Using machine learning techniques to predict and identify off-target effects of anti-cancer drugs to reduce drug toxicity