Stanford University
Showing 2,201-2,250 of 36,193 Results
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Andrew Bauer
Professor of Anthropology
BioAndrew Bauer is an anthropological archaeologist whose research and teaching interests broadly focus on archaeological method and theory, geoarchaeology, and environmental anthropology, including the socio-politics of land use and both symbolic and material aspects of producing spaces, places, and landscapes. Bauer's primary research is based in South India, where he co-directs fieldwork investigating the relationships between landscape history, cultural practices, and institutionalized forms of social inequalities and difference during the region’s Neolithic, Iron Age, Early Historic, and Medieval periods. As an extension of his archaeological work he is also interested in the intersections of landscape histories and modern framings of nature that relate to conservation politics and climate change. He has published broadly on these topics.
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Eugene Bauer
Lucy Becker Professor in Medicine, Emeritus
Current Research and Scholarly InterestsDefining the role of matrix metalloproteinases in connective tissue remodeling of the skin. Defining the macromolecular structures of the cutaneous basement membrane zone. Developing methods for delivery of extracutaneous gene therapy in epidermolysis bullosa.
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Evan Baum, MD
Clinical Assistant Professor, Medicine
BioDr. Evan Baum is a Clinical Assistant Professor in the Division of Hospital Medicine at Stanford University. He is an academic hospitalist whose work centers on medical education, point-of-care ultrasound, and the integration of innovative technologies into bedside care. He earned his MD from the Warren Alpert Medical School of Brown University and completed his residency at Stanford University.
Dr. Baum is deeply committed to advancing point-of-care ultrasound education and scholarship. He serves as Co-Director of the Longitudinal POCUS Curriculum for internal medicine residents and as Co-Director of Education for the Stanford Hospital Medicine POCUS group, where he leads faculty development initiatives. He has taught at national POCUS CME courses, including at UCSF and UT San Antonio.
His research focuses on clinical and educational applications of POCUS, particularly the use of artificial intelligence to enhance image acquisition, diagnostic accuracy, and trainee learning. He has co-led randomized trials evaluating AI-assisted cardiac ultrasound acquisition and educational outcomes.
Dr. Baum is an active educator across the continuum of training, teaching clinical reasoning, physical diagnosis, and bedside ultrasound to medical students, physician assistant students, and residents. He is a Rathmann Family Foundation Fellow in Medical Education, where he is developing and evaluating a patient-centered communication framework to improve code status discussions.
Through his clinical work, scholarship, and leadership, Dr. Baum seeks to strengthen bedside medicine by combining rigorous education, thoughtful mentorship, and emerging technologies that improve diagnostic precision and patient-centered care. -
Fiona Baumer
Assistant Professor of Neurology (Pediatric Neurology)
Current Research and Scholarly InterestsCauses of Disturbed Cognition in Pediatric Epilepsy
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Heidi Baumgartner
Social Science Research Scholar
Current Research and Scholarly InterestsAs the executive director of the ManyBabies global consortium (manybabies.org), I am interested in facilitating Big Team Science practices to address difficult outstanding theoretical and methodological questions about the nature of early development and how it is studied.
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James M Baxter
Associate Scientist, SLAC National Accelerator Laboratory
BioInterested in understanding small things that move quickly:
- Ultrafast crystallography for protein and small-molecule dynamics
- Ultrafast microscopy and spectroscopy of proteins and materials
- Quantum imaging and quantum X-ray science -
Mohsen Bayati
Carl and Marilynn Thoma Professor in the Graduate School of Business and Professor, by courtesy, of Electrical Engineering and of Radiation Oncology (Radiation Therapy)
Current Research and Scholarly Interests1) Healthcare management: I am interested in improving healthcare delivery using data-driven modeling and decision-making.
2) Network models and message-passing algorithms: I work on graphical modeling ideas motivated from statistical physics and their applications in statistical inference.
3) Personalized decision-making: I work on machine learning and statistical challenges of personalized decision-making. The problems that I have worked on are primarily motivated by healthcare applications. -
Tina Baykaner
Assistant Professor of Medicine (Cardiovascular Medicine)
BioTina Baykaner, MD, MPH is an Assistant Professor of Medicine in the Division of Cardiovascular Medicine and Cardiac Electrophysiology at Stanford University School of Medicine. She completed residency and fellowships in cardiovascular medicine and advanced heart failure at the University of California, San Diego, followed by fellowship training in cardiac electrophysiology at Stanford. She joined the Stanford faculty in 2018 and was promoted to Assistant Professor in 2023.
Dr. Baykaner’s research program focuses on atrial fibrillation (AF), cardio-oncology, and the integration of artificial intelligence and machine learning into cardiac electrophysiology. She is Principal Investigator of an NIH R01 investigating atrial fibrillation in patients with hematologic malignancies treated with tyrosine kinase inhibitors and previously led an NIH K23 award focused on personalizing AF management using machine learning. She also serves as co-investigator or consultant on multiple NIH-funded R01 projects in artificial intelligence, ventricular arrhythmias, and digital cardiovascular phenotyping. Her work spans AF mechanisms, ablation outcomes, digital health implementation, and equity in arrhythmia care.
She has authored over 200 peer-reviewed publications, book chapters, and abstracts, including more than 100 original research manuscripts, and has delivered over 100 invited lectures nationally and internationally. She served as a task force member for the 2024 EHRA/HRS/APHRS/LAHRS Expert Consensus Statement on Catheter and Surgical Ablation of Atrial Fibrillation and holds editorial leadership roles, including Associate Editor for the Journal of Interventional Cardiac Electrophysiology and editorial board positions with multiple electrophysiology journals.
Dr. Baykaner is Vice-Chair of the Heart Rhythm Society Digital Education Committee and serves on national program and grant review committees, including NIH/NHLBI study sections. She is actively engaged in mentorship across undergraduate, medical, graduate, and postdoctoral levels, with mentees who have received national awards and progressed to electrophysiology fellowship and faculty positions.
Her clinical practice focuses on catheter ablation of atrial and ventricular arrhythmias, supraventricular tachycardias, management of inappropriate sinus tachycardia, cardiac implantable electronic device implantation and extraction, and advanced rhythm management strategies in complex patient populations. -
Shania Danielle Bayley
Postdoctoral Scholar, Psychiatry
BioDr. Shania Bayley is a Postdoctoral Scholar on the Autism Spectrum Disorders track at Stanford University School of Medicine, Department of Psychiatry and Behavioral Sciences. She earned her Doctor of Psychology (Psy.D.) in Clinical Psychology from Loyola University Maryland, where her training was specialized in child and adolescent psychology with a strong emphasis on neurodevelopmental disorders, trauma-informed care, and early relational health.
She completed her predoctoral internship at WestCoast Children’s Clinic in Oakland, California. Her clinical interests include diagnostic assessment of autism spectrum disorder, parent-child relational dynamics, and attachment-based interventions in marginalized communities. She has received training in psychodiagnostic testing and has experience providing therapy to children, adolescents, and families across school, community, and hospital settings. -
Edward Bayliss
Graduate, Stanford Center for Professional Development
BioEmbedded Systems Engineer
Focused on building reliable, firmware and hardware systems across IoT and TinyML applications.
Strong experience in C-based development, hardware bring-up, and communication protocols (SPI, I2C, UART), with a focus on debugging and system integration.
Developed automated manufacturing test and programming infrastructure to improve reliability and scalability.
Currently completing the Electrical Engineering Graduate Certificate.
