Stanford University
Showing 14,601-14,650 of 37,142 Results
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Aleesha Jethwa
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioDr Jethwa is a postdoctoral fellow working in Dr Sultan's lab, within the Obstetric Anesthesiology Department. She is funded by the R90 HEAL/Pain Cohort grant. Her research focuses on the peripartum period and how targeted interventions can alter recovery trajectories.
Dr Jethwa previously worked as a resident anesthesiologist in the UK for 7 years including rotations in Internal Medicine, Obstetrics, and Pain Medicine and completed a Masters in Education at the University of Pennsylvania focused on medical education. -
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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Rishabh Jha
MBA, expected graduation 2026
BioRishabh is an MBA Candidate at the Stanford Graduate School of Business.
Rishabh was trained as a Materials Engineer at IIT Roorkee in India. Before joining Stanford, he was a product manager at Bain and Company, building scalable AI powered software platforms.
At GSB, Rishabh focuses on space technology, having spent a summer at Aadyah Space where he led their USA go-to-market strategy. His long term ambition is to specialise in microgravity manufacturing, turning in-orbit production from concept to commercial reality.
Outside work, he enjoys flying planes as a private pilot and caring for his thriving collection of indoor plants. -
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.
