School of Medicine
Showing 21-29 of 29 Results
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Soumyadeep Roy
Postdoctoral Scholar, Biomedical Informatics
BioI am a postdoctoral scholar at the Center for Biomedical Informatics Research of Stanford University, advised by Prof. Tina Hernandez-Boussard.
My primary area of research is natural language processing, with expertise in medical and healthcare applications. My research areas of interest are Foundation Models for Medicine, Generative AI, Text Summarization, and Efficient Pretraining.
I hold a PhD in Computer Science and Engineering from the Indian Institute of Technology Kharagpur, where I worked with Prof. Niloy Ganguly and Prof. Shamik Sural. Here, I was part of the Complex Networks Research Group (CNeRG). My PhD thesis is titled “Domain Adaptation for Medical Language Understanding”, where I developed novel domain adaptation techniques to effectively and efficiently adapt open-domain AI models to the medical domain.
In summary, I have six years of experience working with medical NLP data, which includes clinical trial registry data (2018-2021), medical forum questions (2020-2021), DNA sequence data (2021-2024), biomedical scientific literature (2023 - 2025), clinical data (2021-2023) and EHR clinical notes (2025). My medical AI research experience includes 2.5 years at L3S Research Germany collaborating with Hannover Medical School as well as a 7-month research internship at GE HealthCare Technology and Innovation Center (HTIC) in Bangalore, India. I also presented a tutorial on March 10, 2025 titled "Building Trustworthy AI Models for Medicine" at WSDM 2025 held in Germany.
In my free time, I like hiking, and playing chess or table tennis. -
Chen-Yang Su
Postdoctoral Scholar, Biomedical Informatics
BioDr. Chen-Yang Su is a Postdoctoral Scholar in Biomedical Data Science at Stanford University whose research focuses on AI agents, AI evaluation and reliability, and AI for science. He develops and evaluates foundation models and agentic AI systems for biomedical research and scientific discovery, with an emphasis on robust, reliable, and grounded AI systems.
He earned a PhD in Quantitative Life Sciences, an MSc in Computer Science from Mila – Quebec AI Institute, and a BSc in Computer Science and Biology, all at McGill University. He has contributed to more than 50 publications and has received numerous competitive research grants, fellowships, and awards.
