Stanford University
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Mohana Roy, MD
Clinical Assistant Professor, Medicine - Oncology
BioDr. Roy is a medical oncologist and a clinical assistant professor in the Stanford University School of Medicine Department of Medicine, Division of Medical Oncology. She has expertise in Lung and Thoracic cancers, but with a broad clinical interest in oncology, including in Carcinoma of Unknown Primary (CUP).
Dr. Roy became an oncologist because of her passion for patient care. She is committed to being a clinician and is focused on improving the patient experience, given how the complex process of getting cancer care can be made a bit more seamless. She is the Associate Medical Director for Quality at Stanford Cancer Center from 2022.
She had led major efforts in the cancer program including starting standardized discharge follow up for patients after hospitalization, starting same day clinical care at the cancer center, and also expediting care for patients with an unclear diagnosis of cancer but with suspected imaging concerns.
Her research interests include access to clinical trials, quality improvement and improving care delivery. In that effort, she has published on work regarding patient reported outcomes (PROs), through distress screening with the Stanford Medicine Cancer Center, and in care for patient with limited English proficiency.
Dr. Roy received her medical degree from Albert Einstein College of Medicine, and then completed residency training at Beth Israel Deaconess Medical Center. She then completed fellowship training in Hematology and Oncology at Stanford, where she was chief fellow. -
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.
