Stanford University
Showing 421-440 of 6,046 Results
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Noah Benjamin-Pollak
Ph.D. Student in Management Science and Engineering, admitted Autumn 2022
BioNoah Benjamin-Pollak (noahabp@stanford.edu) is a PhD candidate in Management Science & Engineering at Stanford University. He is a member of the Center for Work, Technology, and Organization (WTO). His research focuses on how different professions interact, particularly how authority and expertise are utilized in cross-occupational contexts. His current research uses ethnographic methods to understand cross-occupational collaboration between engineers and traditional business employees. Additionally, he is focused on understanding how expertise and expert authority are built and communicated between experts and non-expert audiences.
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Samantha Bents
Ph.D. Student in Environment and Resources, admitted Autumn 2024
BioSamantha Bents (she/her/hers) is an E-IPER PhD student interested in studying the transmission dynamics of infectious diseases across changing temporal and spatial scales. She plans to investigate how these dynamics can be leveraged to design public health interventions targeting inequities in both the built and natural environment. Prior to beginning her PhD, she was a researcher at the National Institute of Allergy and Infectious Diseases (NIAID) and Fogarty International Center (FIC) NIH where her work focused on predictive disease modeling. She holds a B.A. from Princeton University in Ecology and Evolutionary Biology with a concentration in Global Health and Health Policy.
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Brandon Bergsneider
MD Student with Scholarly Concentration in Informatics & Data-Driven Medicine / Immunology, expected graduation Spring 2026
BioBrandon Hwa-Lin Bergsneider, from Los Angeles, CA, is pursuing an MD at Stanford School of Medicine. Brandon earned a bachelor of science in human biology from Stanford, and a MSc in bioinformatics and theoretical systems biology from Imperial College London. Brandon aspires to use data science-based technologies to advance health equity through early diagnosis, democratizing health information, and improving treatment efficacy. At Stanford and Imperial, he researched the molecular bases of neurodegeneration, the genetic susceptibility of neuroblastoma patients to SARS-CoV-2, computational protein structure prediction, and using machine learning to identify chemotherapy-resistant cancer cells. Brandon has also worked at the National Institutes of Health, where he used computational network analysis to identify clinical and demographic determinants of brain tumor patient symptom burden. Brandon has multiple first-author publications and, outside of academics, enjoys volunteering as a surf-therapy instructor for military veterans. He is a Knight-Hennessy Scholar, a Fulbright Scholar, and an NIH Cancer Research Training Award Fellow.
