School of Engineering
Showing 2,301-2,400 of 5,901 Results
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Jikai Jin
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2023
BioI 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, Senior Fellow at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) 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
Affiliate, Programs
Bioplease see: https://law.stanford.edu/directory/david-johnson/
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Sarah Johnson
Postdoctoral Scholar, Bioengineering
BioI design and drive studies using wearables that combine modelling, data analysis and software development to address problems that limit human performance.
I have with a particular interest in female health, and work to translate findings into practical solutions. -
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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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.
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Joseph Kahn
Harald Trap Friis Professor
BioJoseph M. Kahn is a Professor of Electrical Engineering at Stanford University. His research addresses communication and imaging through optical fibers, including modulation, detection, signal processing and spatial multiplexing. He received A.B. and Ph.D. degrees in Physics from U.C. Berkeley in 1981 and 1986. From 1987-1990, he was at AT&T Bell Laboratories, Crawford Hill Laboratory, in Holmdel, NJ. He was on the Electrical Engineering faculty at U.C. Berkeley from 1990-2003. In 2000, he co-founded StrataLight Communications, which was acquired by Opnext, Inc. in 2009. He received the National Science Foundation Presidential Young Investigator Award in 1991 and is a Life Fellow of the IEEE.
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Thomas Kailath
Hitachi America Professor in the School of Engineering, Emeritus
BioThomas Kailath obtained a B.E.(Telecom) degree from the College of Engineering in Pune, India, in !956 and M.S. (1959) and Sc.D. (1961) degrees in Electrical Engineering from the Massachusetts Institute of Technology.
After a year at the Jet Propulsion Laboratories, he joined Stanford University in 1963 as an Associate Professor of Electrical Engineering, was promoted to Professor in 1968, and named to the Hitachi America Chair in 1988. He assumed Emeritus status in June 2001. His research has spanned a large number of engineering and mathematical disciplines, and he has mentored over a hundred doctoral and postdoctoral students. Their joint efforts have led to over 300 journal papers, several of which have received outstanding paper prizes; they have also led to a dozen patents and to several books and monographs. He has also co-founded and served as a director of several private and public high-technology companies. and has been
He is a fellow of the IEEE and a member of the US National Academy of Engineering, the US National Academy of Sciences, the American Academy of Arts and Sciences, the Indian National Academy of Engineering, the Academy of Sciences of the Developing World and the Royal Spanish Academy of Engineering. In 2006, he was inducted into the Silicon Valley Engineering Hall of Fame.
Other major honors include several IEEE medals and prizes, including the 2007 Medal of Honor in 2007, Guggenheim and Churchill Fellowships, and honorary degrees from universities in Sweden, Scotland, Spain and France. -
Seraphine Kamayirese
Postdoctoral Scholar, Bioengineering
BioI am a protein and peptide biochemist with a focus on biophysical characterization, structural activity relationship (SAR)study, and design and optimization of peptides targeting disease-relevant proteins. My Ph.D. research focused on designing and optimizing ligands that target the 14-3-3ε protein to disrupt its interaction with the cell cycle regulator CDC25A, an interaction known to suppress apoptosis in squamous cell carcinoma. Inhibiting this pathway is expected to promote apoptosis in cutaneous squamous cell carcinoma. At Stanford University, I am expanding my research to study antimicrobial peptidoids and peptides such as LL-37 and their interactions with amyloid beta peptides, and the potential application of the resulting complexes as antiviral therapeutics. I bring strong experience in rational peptide design, structural activity relationship studies, molecular dynamics simulations, peptides and peptoids synthesis and purification, protein expression, and biophysical assays. My research has led to multiple peer-reviewed publications, presentations at national and international conferences, and awards, including the Young Investigator Poster Award at the American Peptide Symposium.
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Theodore Kamins
Researcher, Contingent
Adjunct Professor, Electrical EngineeringBioTed received his degrees from the University of California, Berkeley. He then joined the Research and Development Laboratory of Fairchild Semiconductor, where he worked with epitaxial and polycrystalline silicon before moving to Hewlett-Packard Laboratories, where he worked on numerous semiconductor material and device topics. Before moving to Stanford, he was a Principal Scientist at Hewlett-Packard in the Information and Quantum Systems Laboratory, where he conducted research on advanced nanostructured electronic and sensing materials and devices.
Ted is co-author with R. S. Muller of the textbook "Device Electronics for Integrated Circuits" and is author of the book "Polycrystalline Silicon for Integrated Circuits and Displays." He is a Fellow of the IEEE and a Fellow of the Electrochemical Society. He has taught at the University of California, Berkeley, and at Stanford University and has been an Associate Editor of the IEEE Transactions on Electron Devices. -
Andrei Kanavalau
Ph.D. Student in Electrical Engineering, admitted Autumn 2020
BioPhD candidate in Electrical Engineering at Stanford working across LLMs/Transformers, constrained optimization, and control.
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Hangoo Kang
Masters Student in Computer Science, admitted Autumn 2025
BioHangoo Kang is a computer science MS student at Stanford University with a strong interest in building trustworthy and efficient AI systems. He earned his B.S. in Computer Science from the University of Illinois Urbana-Champaign (UIUC). His academic and research pursuits span reinforcement learning (RL), reinforcement learning from human feedback (RLHF), agentic AI, large language models (LLMs), and multi-modal models.
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Hyunmin Kang
Affiliate, Center for Sustainable Development and Global Competitiveness
BioHyunmin Kang is an Assistant Professor in the Department of Psychology at Daegu Univeristy in South Korea. He received his Ph.D. in Cognitive Engineering at Yonsei University. He conducts research within the Human-Urban Interaction pillar, examining the interactions between humans, cities, culture, transportation, technology, and services based on psychological and human factors theories. His research particularly utilizes quantitative and qualitative analysis, big data analytics, and metaverse technologies. His goal is to conduct research that contributes to improving the lives of people living in urban environments by deepening the understanding of human behavior.
