Stanford University
Showing 3,621-3,640 of 12,914 Results
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Benedikt Geier
Postdoctoral Scholar, Infectious Diseases
BioB.Sc. Biology, Ludwig Maximilian University (LMU), Munich/Germany (2013)
M.Sc. Biology and bioimaging, Ludwig Maximilian University (LMU), Munich/Germany (2015)
Ph.D., Animal-Microbe Symbioses, Max Planck Institute for Marine Microbiology in Bremen/Germany (2020)
Benedikt joined the Amieva Lab from Germany in 2022. During his B.Sc. and M.Sc. programs in zoology, he became fascinated with 3D imaging approaches to study small animal microanatomy. He spent his PhD developing in situ imaging approaches to study deep-sea symbioses and fell in love with studying host-microbe interactions. In the Amieva Lab, Benedikt will advance his previously developed correlative chemical imaging techniques to resolve metabolic and cellular interactions that drive H. pylori pathogenesis in the gastric glands.
More about Benedikt's transition from deep-sea microbiology into infectious disease research can be found here:
https://scopeblog.stanford.edu/2022/08/24/unconventional-paths-deep-sea-to-the-stomach/ -
Pascal Geldsetzer
Assistant Professor of Medicine (Primary Care and Population Health) and, by courtesy, of Epidemiology and Population Health
BioPascal Geldsetzer is an Assistant Professor of Medicine in the Division of Primary Care and Population Health and, by courtesy, in the Department of Epidemiology and Population Health. He is also affiliated with the Phil & Penny Knight Initiative for Brain Resilience at the Wu Tsai Neurosciences Institute, Department of Biomedical Data Science, Department of Health Policy, and the Stanford Center for Population Health Sciences.
His research focuses on identifying and evaluating the most effective interventions for improving health at older ages. In addition to leading several randomized trials, his methodological emphasis lies on the use of natural experiments to ascertain causal effects in large observational datasets, particularly in electronic health record data. He has won an NIH New Innovator Award (in 2022), a Chan Zuckerberg Biohub investigatorship (in 2022), and three NIH R01 grants as Principal Investigator (in 2023 and 2024). In 2026, he was named one of the 100 most influential people in health and medicine globally by TIME Magazine. -
Margarita Geleta
Graduate, Biomedical Data Science
BioMargarita Geleta is a computer science PhD student at University of California, Berkeley (major in Artificial Intelligence and minor in Human-Computer Interaction), and a graduate exchange student at Stanford University. Ms. Geleta received her M.S. in computer science at University of California, Berkeley.
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Linda N. Geng, MD, PhD
Clinical Associate Professor, Medicine - Primary Care and Population Health
Current Research and Scholarly InterestsMy scholarly focus is on puzzling and complex conditions. Our work aims to improve patients' diagnostic journeys, characterize poorly understood diseases, discover biological mechanisms, find treatments, improve care models, and reach communities in need.
With the COVID pandemic, the puzzling and complex illness of Long COVID or post-acute COVID-19 syndrome (PACS) emerged. Together with a multidisciplinary group of physicians and researchers, we launched a program here at Stanford to advance the care and understanding of Long COVID. Our goal is to better understand the natural history, clinical symptomatology, immunological response, risk factors, and subtypes of Long COVID. We are also actively assessing treatment strategies for Long COVID and developing care pathways and tools for clinicians to help their patients with this and other related infection-associated chronic illnesses. -
Grace Gengoux, PhD, BCBA-D
Clinical Professor, Psychiatry and Behavioral Sciences - Child & Adolescent Psychiatry and Child Development
Current Research and Scholarly InterestsDr. Grace Gengoux is Director of the Autism Intervention Clinic and leads an autism intervention research program focused on developing and evaluating promising behavioral and developmental treatments for Autism Spectrum Disorder (ASD).
Dr. Gengoux is also Associate Chair for Faculty Engagement & Well-being and Department Well-being Director in the Department of Psychiatry and Behavioral Sciences, leading the department's Standing Well-being Advisory Committee. -
Jacqueline Genovese
Academic Prog Prof 3, School of Medicine - Biomedical Ethics
Current Role at StanfordExecutive Director of the Medicine & the Muse Program
LEAD Program for Residents, Mentor
Member of Stanford School of Medicine JEDI Collective
Member SCBE Diversity Committee
Steering Committee Member: Health Humanities Consortium
Teaching Lead, War Literature & Writing class for military affiliated students
Co-teacher, War and Fiction for non military and military affiliated students
Facilitator, Literature & Medicine Dinner & Discussion Series
Co-lead Stuck@Home Concert series
Co-Lead: Frankenstein@200 2017-2018 Initiative
Stanford Supervisory Academy (completed) -
Mark Genovese
James W. Raitt M.D. Professor, Emeritus
Current Research and Scholarly InterestsClinical trials and interventions in the rheumatic diseases including Rheumatoid Arthritis,Systemic Lupus Erythematosus, Systemic Sclerosis, Osteoarthritis.
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Michael Gensheimer
Clinical Associate Professor, Radiation Oncology - Radiation Therapy
Current Research and Scholarly InterestsIn addition to my clinical research in head and neck and lung cancer, I work on the application of computer science and machine learning to cancer research. I develop tools for analyzing large datasets to improve outcomes and safety of cancer treatment. I developed a machine learning prognostic model using data from around 13,000 patients with metastatic cancer which performs better than traditional models and physicians [PubMed ID 33313792]. We recently completed a prospective randomized study in thousands of patients in which the model was used to help improve advance care planning conversations.
I also work on the methods underpinning observational and predictive modeling research. My open source nnet-survival software that allows use of neural networks for survival modeling has been used by researchers internationally. In collaboration with the Stanford Research Informatics Center, I examined how electronic medical record (EMR) survival outcome data compares to gold-standard data from a cancer registry [PubMed ID 35802836]. The EMR data captured less than 50% of deaths, a finding that affects many studies being published that use EMR outcomes data.
