School of Engineering
Showing 101-199 of 199 Results
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Ruizhe Jia
Assistant Professor of Management Science and Engineering
BioI am an Assistant Professor in the Department of Management Science & Engineering at Stanford University. I earned my Ph.D. in Operations Research at Columbia University, advised by Prof. Agostino Capponi, and completed my B.S. and M.A. in Mathematics at UCLA.
My research sits at the intersection of financial technology, market microstructure, and mechanism design. I study how financial markets function and how they can be redesigned for greater efficiency and fairness, with a particular focus on decentralized finance (DeFi) and blockchain-based trading. My work spans three areas:
Market microstructure — analyzing trading behavior and designing better financial markets.
FinTech and DeFi — examining how cryptographic tools and decentralized protocols reshape financial transactions.
Incentives in financial technology — addressing misalignments that emerge in crypto-finance and proposing mechanisms that improve adoption and efficiency.
I believe finance is a social science that benefits from active engagement with real markets. I work closely with both industry and regulators to ensure my research not only advances theory but also informs practice and policy in digital assets and financial technology. -
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
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 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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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.
