Stanford University
Showing 13,681-13,700 of 34,681 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 PhD student advised by Jure Leskovec and Percy Liang. I work on efficient and performant large-scale distributed data processing (currently, agentic and mixed-modal inference), natural language processing, and machine learning. I also work with Stephanie Wang, Baris Kasikci, and Luke Zettlemoyer at the University of Washington. I completed by B.S. and M.S. in Computer Science at Stanford, advised by Prof. Mark Horowitz, and affiliated with the Portal Center, AHA! Agile Hardware Center, and the Stanford VLSI Group.
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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.
