School of Engineering
Showing 2,601-2,655 of 2,655 Results
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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!
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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.
