School of Medicine
Showing 71-80 of 1,040 Results
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Brandon Bergsneider
MD Student with Scholarly Concentration in Informatics & Data-Driven Medicine / Immunology, expected graduation Spring 2027
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.
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Isaac Alden Bernstein
MD Student with Scholarly Concentration in Clinical Research / Surgery, expected graduation Spring 2026
BioIsaac is a medical student at Stanford with interests in vision, big data, and artificial intelligence. He previously studied neuroscience and French at Johns Hopkins University, spending two additional years studying sinus inflammation and sensory loss using bioinformatic and epidemiological approaches.
At Stanford, Isaac harnesses big data and novel developments in artificial intelligence to address key questions in ophthalmology. His interests encompass the impact of social determinants on health outcomes, including the role of health care access and frailty in conditions like diabetic retinopathy and visual field loss. He also seeks to implement and understand innovative healthcare solutions, such as automated data abstraction using natural language processing, and assessing the effectiveness of advanced technologies like large language model chatbots in ophthalmic patient care.
