Stanford University
Showing 13,601-13,620 of 34,448 Results
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Marie E. Jetté, PhD
Clinical Associate Professor, Otolaryngology (Head and Neck Surgery)
BioDr. Marie Jetté is a clinician-scientist and Clinical Associate Professor in the Department of Otolaryngology–Head and Neck Surgery at Stanford University School of Medicine. She is a speech-language pathologist specializing in the behavioral assessment and treatment of voice and upper airway disorders, with particular expertise in refractory chronic cough, and gender-affirming voice care. Dr. Jetté joined the Stanford faculty in September 2026 after serving on the faculty at the University of Colorado Anschutz.
Dr. Jetté graduated from the University of British Columbia in Vancouver, Canada, with a bachelor's degree in linguistics and speech science in 2003. She earned her master's degree in speech-language pathology from the MGH Institute of Health Professions in Boston, Massachusetts in 2006. Following her clinical graduate training, she completed a clinical fellowship specializing in voice disorders at the Massachusetts General Hospital Center for Laryngeal Surgery and Voice Rehabilitation in 2007. She subsequently earned her PhD in communication science and disorders from the University of Wisconsin-Madison in 2015.
Dr. Jetté's clinical practice focuses on the evaluation and behavioral treatment of voice and upper airway disorders. She works collaboratively with laryngologists, pulmonologists, and other healthcare professionals to provide comprehensive, multidisciplinary care for patients with complex laryngeal conditions. Her clinical approach emphasizes individualized, evidence-based behavioral interventions to improve vocal function, reduce symptom burden, and enhance patients' quality of life.
As a clinician-scientist, Dr. Jetté conducts clinical and translational research focused on understanding the physiological, sensory, and behavioral mechanisms underlying voice and upper airway disorders. She is a principal investigator of a National Institutes of Health (NIH)-funded, multisite clinical trial investigating the mechanisms of change associated with behavioral cough suppression treatment for refractory chronic cough. Her research integrates behavioral interventions, objective physiological measures, and functional magnetic resonance imaging (fMRI) to investigate the neural and behavioral mechanisms underlying treatment response. Her overarching research goal is to advance the understanding of laryngeal function and develop more effective, individualized treatments for patients with voice and upper airway disorders.
Dr. Jetté is actively involved in scientific publishing, professional education, and service to the fields of speech-language pathology and laryngology. She has served on numerous committees for the American Speech-Language-Hearing Association (ASHA) and as a board member of the Colorado Speech-Language-Hearing Association. She has served on the editorial boards of the Journal of Speech, Language, and Hearing Research, the Journal of Voice, and PLOS ONE. She has served as a co-chair of the Fall Voice conference three times, including as Overall Program Chair in 2026. Dr. Jetté has also reviewed career development awards for the National Heart, Lung, and Blood Institute (NHLBI), served as a site visitor for the Council on Academic Accreditation in Audiology and Speech-Language Pathology (CAA), and organized large-scale educational workshops to train speech-language pathologists in gender-affirming voice care. She is also committed to mentoring the next generation of clinician-scientists and academic leaders, actively mentoring doctoral students, postdoctoral fellows, and early-career faculty through ASHA-sponsored mentoring programs. -
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.
