School of Engineering
Showing 2,101-2,197 of 2,197 Results
-
Jeffrey Yu
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
BioI am a first year EE Ph.D. student majoring at Stanford University. I received my M.S. degree in Electrical Engineering from Stanford University in 2023 and my B.S. degree in Computer Engineering from UC San Diego in 2021. I am interested in DNN quantization and digital accelerator design.
-
Chang M. Yun
Ph.D. Student in Chemical Engineering, admitted Autumn 2023
Current Research and Scholarly InterestsGenomics, Computational Biology, Deep Learning
-
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
BioI study mechanics of materials using computer simulations across multiple length and time scales. I am currently working on understanding how material defects and microstructures govern macroscopic mechanical behaviors. This includes constructing plasticity theory from statistics of dislocations, homogenization theory of digital rocks, and developing data-driven methods for multiscale simulations.
I did Research Interns at Mitsubishi Electric Research Labs (working on machine learning for dynamical and energy systems) and Tokyo Electron (working on computational modeling of semiconductor manufacturing).
I am currently teaching (TA & co-lecture) for Elasticity & Inelasticity (ME340). I served as the TA for Finite Element Method (ME335A). -
Mayshu (Meixu) Zhan
Ph.D. Student in Modern Thought and Literature, admitted Autumn 2023
Ph.D. Minor, Communication
Ph.D. Minor, Computer Science
SHI Discussion Leader, Stanford Pre-Collegiate StudiesCurrent 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.
-
Xingyuan Zhang
Ph.D. Student in Chemistry, admitted Autumn 2023
Ph.D. Minor, Computer ScienceBioPhD candidate in Chemistry and Computer Science, Wu Tsai Neurosciences and Sarafan ChEM-H Institute at Stanford University. Working on scientific machine learning, biomolecular modeling, and protein design for drug discovery and disease modeling.
-
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
BioOrr Zohar is a PhD candidate in Electrical Engineering at Stanford University and a Knight-Hennessy Scholar. He builds large-scale multimodal foundation models - spanning data curation, pretraining, and post-training - with a focus on video understanding, long-horizon reasoning, and robust transfer under real-world distribution shift. His work includes open-source model and dataset efforts and methods for evaluation and alignment of multimodal systems, with an emphasis on turning research into deployment-ready learning systems.
Before Stanford, he earned a BSc in Chemical Engineering (summa cum laude) and an MSc in Electrical Engineering from the Technion–Israel Institute of Technology, and worked as a machine learning and algorithms engineer at proteanTecs. Earlier research experiences include applied sensing and medical-imaging work.
