School of Engineering
Showing 2,701-2,800 of 2,810 Results
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Chang M. Yun
Ph.D. Student in Chemical Engineering, admitted Autumn 2023
Current Research and Scholarly InterestsGenomics, Computational Biology, Deep Learning
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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
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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.
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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.
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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
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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!
