Stanford University
Showing 141-150 of 2,466 Results
-
Barry Behr, Ph.D., H.C.L.D.
Professor of Obstetrics and Gynecology (Reproductive Endocrinology and Infertility), Emeritus
Current Research and Scholarly InterestsDevelopment of improved embryo culture conditions in vitro. Blastocyst cultures. Embryo metabolism in vitro. Embryo maternal dialogue. Clinical application and integration of extended embryo culture systems. Monozygotic twinning. Prevention of multiple pregnancy. Sperm motility enhancers. Fluorescent and non-fluorescent markers of sperm morphology and viablility. Oocyte cryopreservation. Fertility preservation. Improving IVF outcome.
-
Corinne Beinat
Assistant Professor of Radiology (Molecular Imaging Program at Stanford)
Current Research and Scholarly InterestsThe focus of my research is to develop novel imaging and treatment strategies to detect and better manage cancer. This approach relies first on the identification and validation of molecular targets and biomarkers that are linked with underlying the underlying biology driving the initiation and progression of cancers. We then develop novel small molecule based radiotracers to monitor fundamental molecular and cellular processes occurring in living subjects using positron emission tomography (PET) with the goal of improving cancer diagnosis and management. We additionally develop novel peptide based theragnostic agents for stratification of patients with high receptor expression, treatment with targeted radionuclide therapy, and subsequent monitoring of treatment response. Our overall goal is to develop multiple clinically translatable strategies to improve cancer diagnosis, management, and outcomes.
-
Gill Bejerano
Professor of Developmental Biology, of Computer Science and of Pediatrics (Genetics)
Current Research and Scholarly Interests1. Automating monogenic patient diagnosis.
2. The genomic signatures of independent divergent and convergent trait evolution in mammals.
3. The logic of human gene regulation.
4. The reasons for sequence ultraconservation.
5. Cryptogenomics to bridge medical silos.
6. Cryptogenetics to debate social injustice.
7. Managing patient risk using machine learning.
8. Understanding the flow of money in the US healthcare system. -
Michael Edward Bellas
Licensing Associate, Life Sciences, Office of Technology Licensing (OTL)
BioMichael joined OTL in November 2024 as a Licensing Associate on the Life Sciences team. Prior to joining Stanford, Michael worked in business development within the life sciences industry, focusing on strategy, patent filing, and licensing opportunities. He also prepared and negotiated agreements for technology licensing and collaboration with academic partners. Michael holds a B.S. from the University of California, Berkeley.
-
Sean Bendall
Associate Professor of Pathology
On Partial Leave from 02/01/2026 To 10/31/2026Current Research and Scholarly InterestsOur goal is to understand the mechanisms regulating the development of human systems. Drawing on both pluripotent stem cell biology, hematopoiesis, and immunology, combined with novel high-content single-cell analysis (CyTOF – Mass Cytometry) and imagining (MIBI-Multiplexed Ion Beam Imaging) we are creating templates of ‘normal’ human cellular behavior to both discover novel regulatory events and cell populations as well as understand dysfunctional processes such as cancer.
-
Eran Bendavid
Professor of Medicine (Primary Care and Population Health), of Health Policy, Senior Fellow at the Woods Institute for the Environment and, by courtesy, at the Freeman Spogli Institute for International Studies
Current Research and Scholarly InterestsEffect of global health policies on health of individuals in developing countries, global health, HIV and TB.
-
Jade Benjamin-Chung
Assistant Professor of Epidemiology and Population Health
Current Research and Scholarly InterestsOur research aims to improve population health by creating high quality evidence about what health interventions work in whom and where, when, and how to implement them. Most of our research is focused on environmentally-mediated infectious diseases, including malaria, diarrhea, soil-transmitted helminths, and influenza. Our focus is on improving the health of vulnerable populations from low-resource settings, both domestically and internationally. We use a variety of epidemiologic, computational, and statistical methods, including causal inference and machine learning methods.
