Browse Stanford University | Stanford Profiles

Yifan Zhu

Ph.D. Student in Electrical Engineering, admitted Autumn 2023

Contact Info
Mail Code: 9505
zhuyifan@stanford.edu

Yihong Zhu

Ph.D. Student in Aeronautics and Astronautics, admitted Summer 2025

Current Research and Scholarly InterestsReduction Order Modeling, Fluid Mechanics, Applied Mathematics

Contact Info
Mail Code: 4035
zyh03@stanford.edu

Yihui Zhu

Research Associate, Rad/Neuroimaging and Neurointervention

Contact Info
Mail Code: 5105
yihuizhu@stanford.edu

Ying Zhu

Temp - Non-Exempt, Ophthalmology Research/Clinical Trials

Contact Info
Mail Code: 5353
zhuying@stanford.edu

BioDr. Ying Zhu is a postdoctoral scholar in the Rosen Lab at Stanford University in the Department of Pediatrics, Division of Gastroenterology, Hepatology & Nutrition. She received her PhD in 2023 from the Friedman School of Nutrition Science and Policy at Tufts University. Her research studied the role of intestinal Acyl-CoA long-chain synthetase 5 in diet-induced obesity using inducible transgenic mouse model. Within the Rosen Lab, Dr. Zhu is focusing on intestine epithelial metabolic dysfunction in pediatric IBDs and chronic intestinal inflammation.

Contact Info
Mail Code: 5660
yzhu10@stanford.edu

You Jia Zhu

Affiliate, Master of Liberal Arts Program

Zhao Bang Zhu

Undergraduate, School of Engineering

Contact Info
Mail Code: 6150

Zhijun Zhu

Postdoctoral Scholar, Chemical Engineering

Contact Info
Mail Code: 4300
zjzhu@stanford.edu

Zihan Zhu

Research Assoc-Experimental, SLAC National Accelerator Laboratory

Contact Info
- 2575 Sand Hill Rd
- Mailstop 0054
- Menlo Park, California 94025
Mail Code: 0210
zihanzhu@stanford.edu

Zikun Zhu

Masters Student in Education, admitted Autumn 2025
Graduate Program Assistant, SAL Digital Learning
Programmer, Stanford Engineering Center for Global and Online Education

Contact Info
Mail Code: 3084
zikun@stanford.edu

Richard Zhuang

Masters Student in Computer Science, admitted Autumn 2025

BioI’m broadly interested in understanding and improving the capabilities of Large Language Models (LLMs) in a data-centric way. Specifically, I’m intrigued by how certain data “foster” skills that are essential for LLM agents (e.g. reasoning and planning). I have also had a long-standing passion in Sports Analytics. Outside the realm of AI, you will usually find me playing basketball!