School of Engineering
Showing 1-100 of 102 Results
-
Yanjie Ze
Ph.D. Student in Computer Science, admitted Autumn 2024
BioYanjie Ze is a PhD student of Computer Science at Stanford University. His research centers around building intelligence for general-purpose robots. He has published several papers with Oral Presentation/Spotlight on top-tier conferences such as RSS, CoRL, IROS, and ICLR. His personal website: https://yanjieze.com
-
Hanfeng Zhai
Ph.D. Student in Mechanical Engineering, admitted Autumn 2023
BioWorking on combining multiscale and multiphysics computational modeling with scientific machine learning and design optimization for mechanical and materials design in various engineering fields in biomedicine, semiconductors, and manufacturing. Previous works include Bayesian optimization for antibiofilm surfaces, porous metamaterials, physics-informed learning for bubble dynamics, molecular dynamics of graphene, etc. Have industrial experience in multiscale modeling for semiconductor manufacturing at Tokyo Electron.
-
Mayshu (Meixu) Zhan
Ph.D. Student in Modern Thought and Literature, admitted Autumn 2023
Ph.D. Minor, Communication
Ph.D. Minor, Computer ScienceCurrent Research and Scholarly InterestsMy interdisciplinary research examines digital media through the lens of critical race, gender, and sexuality studies. I am primarily interested in investigating how we can leverage the power of media to reinvent and promote social equality. Specifically, my research focuses on digital games and their prosocial influence on 21st- century China.
-
Xue Zhang
Masters Student in Electrical Engineering, admitted Autumn 2021
BioSoftware Engineer, Meta, 2018 - 2024
- Led Ads backend initiatives contributing to a cumulative +1.5% global revenue uplift at Meta.
- Developed AutoML platforms, increasing Ads ranking model success rates from ~70% to ~90%.
- Built Ads signal deduplication systems, reducing redundant signals by 80–90% and cutting compute costs.
Software Engineer Intern, Facebook, 2017
- Delivered three production-quality Ads Promotion products rated "Exceeds Expectations."
MS, Electrical Engineering, Stanford University, 2021
- Specialization: AI, ML, NLP, Reinforcement Learning)
BS, Computer Science, Washington University in St. Louis, 2014 - 2018
- Grade: 3.82/4.00 (Major GPA 3.95/4.00)
- Honor graduate: Magna Cum Laude. Graduated with great distinction. -
Yihong Zhu
Ph.D. Student in Aeronautics and Astronautics, admitted Summer 2025
Current Research and Scholarly InterestsReduction Order Modeling, Fluid Mechanics, Applied Mathematics
-
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!
-
Orr Zohar
Ph.D. Student in Electrical Engineering, admitted Autumn 2021
Masters Student in Computer Science, admitted Autumn 2023BioOrr Zohar, from Haifa, Israel, is pursuing a PhD in electrical engineering at Stanford School of Engineering. He graduated summa cum laude from the Technion with a bachelor's degree in chemical engineering and a master’s degree in electrical engineering. Orr aspires to research, develop, and translate novel machine learning methods into the open surgical domain for applications such as AI-assisted surgery and surgical skill evaluation. Currently, developing novel learning methods in open-world learning and action quality evaluation at MARVL, advised by Prof. Serena Yeung.
Before coming to Stanford, he was a machine learning and algorithms engineer at proteanTecs and a junior researcher at the Technion's LNBD, where he developed soft electronic platforms that can heal, detect damage, and serve as multifunctional electronic skins. During his undergraduate degree, Orr worked as a visiting undergraduate researcher at the de la Zerda group, Stanford University, where he developed OCT image processing algorithms for improved molecular contrast and depth-of-field. Orr is a Bazan Group scholar and was awarded the Sieden family prize for his contributions to YBCO-based photon detectors' development.
