School of Engineering
Showing 101-195 of 195 Results
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Enyi Jiang
Graduate Visiting Researcher Student, Computer Science
BioI am a third-year Computer Science Ph.D. student at the University of Illinois at Urbana-Champaign, advised by Prof. Sanmi Koyejo and Prof. Nancy Amato. I am broadly interested in trustworthy machine learning, especially in AI safety and alignment.
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Jikai Jin
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2023
Masters Student in Computational and Mathematical Engineering, admitted Spring 2026BioI am currently a Ph.D. student of the The Institute for Computational and Mathematical Engineering (ICME) at Stanford university. Prior to joining Stanford, I obtained my bachelor degree in computational mathematics at the School of Mathematical Sciences, Peking University, fortunately having Prof. Liwei Wang as my research advisor. My research is highly interdisciplinary across machine learning, statistics, operations research. While primarily focusing on theoretical aspects, the ultimate goal of my research is to develop state-of-the-art solutions for important real-world problems.
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Ramesh Johari
Professor of Management Science and Engineering and, by courtesy, of Electrical Engineering
BioJohari is broadly interested in the design, economic analysis, and operation of online platforms, as well as statistical and machine learning techniques used by these platforms (such as search, recommendation, matching, and pricing algorithms).
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Dave Johnson
Lecturer, d.school
Bioplease see: https://law.stanford.edu/directory/david-johnson/
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Prof Theresa Johnson
Affiliate, Management Science and Engineering
BioDr. Johnson is a seasoned product leader with deep technical roots and a rare track record of impact across startups, academia, and top-tier tech companies. She currently serves as Head of Product for the Roblox Operating System, where she shapes the product vision for the employee lifecycle for employees at one of the world’s most immersive virtual platforms.
Before that, she led Payments Data Products at Airbnb, tackling complex infrastructure challenges at scale with a focus on user trust, access, and seamless global transactions.
Her career is built on a strong technical foundation—she earned a PhD in Aeronautics and Astronautics from Stanford, becoming the second Black woman in history to do so. That mix of deep systems thinking, experimentation, and executional rigor shows up in everything from launching infrastructure and AI-enabled products, to leading cross-functional teams, to mentoring students and early-career PMs. As Lecturing Professor at Stanford for Introduction to Product Management in the School of Engineering, she's passionate about building inclusive, high-performing teams and designing products that don’t just hit metrics, but matter.
Prof. Theresa Johnson has a BS in Science, Technology and Society and an MS and PhD in Aeronautics and Astronautics from Stanford University. She’s been published in the fields of robotics, machine learning and plasma physics. Theresa lives in Bernal Heights, San Francisco with her husband, two daughters and her rescued catahoula hound, Amelie. -
Steve Jones
Director, High Performance Computing Center, and Research Scientist, Mechanical Engineering - Flow Physics and Computation
Current Role at StanfordDirector, High Performance Computing Center, and Research Scientist, Flow Physics and Computational Engineering
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Taigyu Joo
Postdoctoral Scholar, Chemical Engineering
BioTaigyu Joo (TJ) is a postdoctoral researcher in Professor William Tarpeh's group. His research focuses on designing membranes for separating ions and gases from wastewater, with an emphasis on electrochemical separation techniques.
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Felipe Jornada
Assistant Professor of Materials Science and Engineering
BioFelipe Jornada's research aims at predicting and understanding excited-state phenomena in quantum and energy materials. In order to make reliable predictions on novel materials, he relies on high-performance computer calculations based on parameter-free, quantum-mechanical theories that are developed in his group. He is interested in studying fundamental aspects of these excitations – their lifetimes, dynamics, and stability/binding energies – and how they can be engineered in novel materials, such as nanostructured and low-dimensional systems. His ultimate goal is to use insights from atomistic calculations to rationally design new materials with applications in energy research, electronics, optoelectronics, and quantum technologies.
Felipe received his Ph.D. degree in physics from UC Berkeley in 2017 under the advice of Prof. Steven G. Louie. His Ph.D. research focused on the prediction of the electronic and optical properties of new quasi-two-dimensional materials, such as graphene and monolayer transition metal dichalcogenides. In his postdoc, he studied a number of problems related to multiparticle excitations in low-dimensional materials, including biexcitons and plasmons. Felipe joined the Stanford faculty in January 2020 and an assistant professor in the Department of Materials Science and Engineering. -
Riley Juenemann
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2021
BioThird-year Computational and Mathematical Engineering (ICME) PhD Candidate @ Stanford University passionate about research at the intersection of mathematics, computing, and biology.
