School of Medicine
Showing 411-420 of 1,600 Results
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Sneha Goenka
Postdoctoral Scholar, Cardiovascular Medicine
Stanford Student Employee, Hoover InstitutionBioSneha Goenka is a Ph.D. candidate in the Electrical Engineering Department at Stanford University where she is advised by Prof. Mark Horowitz. Her research centers on designing efficient computer systems for advancing genomic pipelines for clinical and research applications, with a focus on improving speed and cost. She is a 2023 Forbes 30 Under 30 Honoree in the Science category, 2022 NVIDIA Graduate Fellow, and 2021 Cadence Women in Technology Scholar. She has a B.Tech. and M.Tech. (Microelectronics) in Electrical Engineering from the Indian Institute of Technology, Bombay where she received the Akshay Dhoke Memorial Award for the most outstanding student in the program.
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Ethan Goh, MD, MS
Postdoctoral Scholar, General Internal Medicine
BioDr. Goh's research focuses on AI in healthcare, digital health, and informatics. He has successfully led multi-site, grant-funded evaluation studies on Large Language Models applications within healthcare. Prior to Stanford, he was an Internal Medicine clinician, startup founder and technology consultant, working with partners like Google, OpenAI, Roche, Samsung, IDEO, and the NHS in the development, validation and commercialization of digital health products and AI technology. He holds an MD from Imperial College, London, and a Masters in Clinical Informatics and Management from Stanford University.
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Bruna Filipa Gomes Botelho Quintas
Postdoctoral Scholar, Cardiovascular Medicine
Current Research and Scholarly InterestsThe increasing availability of very large datasets, along with recent advances in deep learning based tools for automatic extraction of cardiac traits, has led to the discovery of further common variants associated with cardiac disease. However, the genetic underpinnings of valvular heart disease remains understudied. I am interested in developing deep learning techniques to automatically extract cardiac flow information to facilitate genome-wide association studies of cardiac flow traits.
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Camila Gonzalez
Postdoctoral Scholar, Psychiatry
BioCamila González is a postdoctoral scholar at the Computational Neuroscience Laboratory at Stanford University, where she develops continual learning methods suitable for dynamic settings with ongoing data collection. Her work has received multiple distinctions, including the MICCAI Young Scientist Award, the Francois Erbsmann Award at the Information Processing in Medical Imaging (IPMI) conference, and the Bildverarbeitung für die Medizin (BVM) award. She has been featured in outlets such as the Computer Vision News magazine and the AI-Ready Healthcare podcast. Outside her research, she presided over the MICCAI student board for two years and acted as Diversity, equity, and inclusion (DEI) chair for ContinualAI. Last year, she co-organized the first MICCAI tutorial on Dynamic AI in the Clinical Open World (DAICOW), which will have its second edition in MICCAI 2024.
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Alex J Goodell
Clinical Scholar, Anesthesiology, Perioperative and Pain Medicine
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain MedicineBioAnesthesiologist and internist interested in artificial intelligence, design thinking in healthcare, open-source technology, and epidemiology.
I am currently a fellow in the Anesthesia Informatics and Media Lab where I focus on building tools to improve the user experience of patients and doctors. My current projects include medical usability analysis, evaluation of artificial intelligence, and improving real-time data access for anesthesiologists.
I completed medical school at the UC Berkeley - UCSF Joint Medical Program, followed by the Combined Internal Medicine/Anesthesiology Residency at the Stanford School of Medicine. -
Tal Gordon
Postdoctoral Scholar, Stem Cell Biology and Regenerative Medicine
BioI am a zoologist and molecular biologist interested in the molecular basis of regeneration. My research focuses on stem cells and regeneration in ascidians, a group of marine invertebrates that represent the closest living relatives of the vertebrates. One of the main questions that motivate my research is whether regeneration capabilities lost during evolution can, at least to some extent, be re-acquired. As regeneration is not universal in the animal kingdom, I hypothesize that comparing regeneration in species with distinct regenerative capacities will lead to the discovery of key components of regeneration.
During my postdoc I intend to use comparative genomics to identify conserved cellular and molecular mechanisms that underlie ascidians’ regeneration.
