Stanford University

Showing 36,211-36,220 of 36,338 Results

• 

  Yili Zhu, PHD

  Multiomics Staff Scientist, School of Medicine - CMGM
  

  • Contact Info

    Mail Code: 5307
• Ying Zhu

  Temp - Non-Exempt, Ophthalmology Research/Clinical Trials
  

  • Contact Info

    Mail Code: 5353

    zhuying@stanford.edu
• 

  Ying Zhu

  Postdoctoral Scholar, Gastroenterology, Hepatology, and Nutrition
  

  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
• Louise Zhuang

  Ph.D. Student in Electrical Engineering, admitted Autumn 2020
  

  • Contact Info

    Mail Code: 9505
• 

  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!

  • Contact Info

    richz@stanford.edu