Stanford University
Showing 351-400 of 845 Results
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Michael Christopher Jewett
Professor of Bioengineering and, by courtesy, of Chemical Engineering
BioMichael Jewett is a Professor of Bioengineering at Stanford University. He received his B.S. from UCLA and PhD from Stanford University, both in Chemical Engineering. He completed postdoctoral studies at the Center for Microbial Biotechnology in Denmark and the Harvard Medical School. Jewett was also a guest professor at the Swiss Federal Institute of Technology (ETH Zurich). His research group focuses on advancing synthetic biology research to support planet and societal health, with applications in medicine, manufacturing, sustainability, and education.
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Rathinaraja Jeyaraj
Postdoctoral Scholar, Pathology
BioI work at the intersection of AI, multimodal learning, and large-scale image analytics, with a strong focus on computational pathology and foundation models for healthcare. My current research interests include LLMs, VLMs, multimodal reasoning, whole-slide image analysis, retrieval-augmented generation (RAG), and trustworthy AI for medical decision support.
I develop scalable deep learning systems spanning WSI preprocessing, multiple instance learning, segmentation, survival prediction, and multimodal image-text modeling. My work also involves attention interpretability, contrastive learning, pathology foundation model adaptation, and large-scale AI pipelines. Beyond healthcare AI, I have experience in time-series forecasting, distributed computing, cloud infrastructure, and real-time computer vision systems for industrial and smart-city applications.
I am particularly interested in building reliable, interpretable, and clinically meaningful AI systems that bridge computer vision, multimodal learning, and large-scale reasoning. -
Aditi Jha
Postdoctoral Scholar, Statistics
BioI am a computational neuroscientist, working at the intersection of machine learning and systems neuroscience.
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Atindra Jha
Ph.D. Student in Electrical Engineering, admitted Autumn 2026
Research Engineer, Program-Leskovec, J.BioI am a graduate student in Computer Science advised by Prof. Mark Horowitz and affiliated with the AHA! Agile Hardware Center and the Stanford VLSI Group. My research interests lie in hardware-software co-design, embedded systems, operating systems, and machine learning. I completed my B.S. in Computer Science at Stanford University as well.
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Saumitra Jha
Associate Professor of Political Economy at the GSB, Senior Fellow at the Freeman Spogli Institute, at the Stanford Institute for Economic Policy Research & Associate Professor, by courtesy, of Political Science and of Economics
BioSaumitra Jha is an Associate Professor of Political Economy at Stanford’s Graduate School of Business, and by courtesy, of Economics and of Political Science. He is also a Senior Fellow at the Center for Democracy, Development and the Rule of Law in the Freeman-Spogli Institute for International Affairs and convenes the Stanford Conflict and Polarization Lab.
Saumitra holds a BA from Williams College, master’s degrees in economics and mathematics from the University of Cambridge, and a PhD in economics from Stanford University. Prior to joining the GSB, he was an Academy Scholar at Harvard University. He has been a Center Fellow at the Center for Advanced Study in the Behavioral Sciences, as well as of the Niehaus Center for Globalization and Governance and the Center for the Study of Democratic Politics at Princeton University. He was voted Teacher of the Year by the students of the Stanford GSB Sloan Fellow Class of 2020. He received the Michael Wallerstein Award for best published article in Political Economy from the American Political Science Association in 2014 for his research on ethnic tolerance and his co-authored work on Heroes was awarded the 2020 Oliver Williamson Best Paper Award from the Society for Institutional and Organizational Economics. -
Hanlee P. Ji
Professor of Medicine (Oncology) and, by courtesy of Electrical Engineering
Current Research and Scholarly InterestsCancer genomics and genetics, translational applications of next generation sequencing technologies, development of molecular signatures as prognostic and predictive biomarkers in oncology, primary genomic and proteomic technology development, cancer rearrangements, genome sequencing, big data analysis
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Lu Ji
Postdoctoral Scholar, Radiation Biology
BioDriven by the enthusiasm and curiosity about life science and human disease, I have been working on cancer research for more than 5 years. I focus on developing novel therapeutic targets from tumor microenvironment and uncovering mechanisms of tumor progression, especially with expertise in gastrointestinal tumor biology and tumor microenvironment analysis. Now I'm digging into a field about finding a way to empower immunotherapy by appropriately utilizing radiation therapy.
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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. -
Xiaolin Jia
Clinical Assistant Professor, Medicine
Current Research and Scholarly InterestsQuality improvement, palliative care
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Can "Angela" Jiang
Clinical Associate Professor, Medicine - Primary Care and Population Health
BioDr. Can "Angela" Jiang is a board certified family physician who enjoys caring for the whole family, from newborn care to geriatrics. She has special interests in women's health, adolescent health, pediatrics, and medical student education. She specializes in primary care procedures including gynecologic procedures.
Prior to medical school, Dr. Jiang was a high school biology teacher in Chicago with Teach for America and loves combining her passions for teaching and medicine on a daily basis at Stanford Family Medicine. Dr. Jiang also teaches residents at the Stanford Health Care-O'Connor Hospital residency program and is the director of the O’Connor-Stanford Leaders in Education Residency Program (OSLER). Dr. Jiang is also passionate about community outreach and works with the Stanford Youth Diabetes Coaches Program.
Outside of clinic, she enjoys hiking, reading, group fitness classes, traveling, and running after her two young kids.