Stanford University
Showing 13,611-13,620 of 34,448 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.
