School of Medicine


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  • Raheleh Roudi

    Raheleh Roudi

    Basic Life Research Scientist, Rad/Pediatric Radiology

    BioRaheleh Roudi is a research scientist in the Department of Radiology at Stanford University. Dr. Roudi trained at the Iran University of Medical Sciences, Iran. She worked as an Assistant Professor at the Iran University of Medical Sciences, Iran from 2015 to 2019, before coming to the United States. During this time, Dr. Roudi worked on several projects which have led to successful collaborations with the Karolinska Institute; Charite Universitatsmedizin Berlin; Oslo University Hospital; National University of Singapore; Shanghai University of Traditional Chinese Medicine and University of Brescia, among other internationally recognized institutions.
    Dr. Roudi was a visiting scientist in the University of Texas at San Antonio and then appointed as a postdoctoral associate at the University of Minnesota for one year, before joining Stanford University in 2022.
    Her research interest focuses on the molecular oncology and immunotherapies of solid tumors and she published more than 40 peer reviewed papers.

  • Dara Rouholiman

    Dara Rouholiman

    Affiliate, Anesthesia - Adult Pain Medicine

    BioDara is a machine learning research engineer at AIM lab with focus on clinical ML models' evaluation. He has 7+ years of experience developing ground breaking health sensors and models. Previously, he led the ML team at a hardware-health-tech startup backed by KV in Menlo Park and developed new methods and hardware that measures biomarkers’ changes in blood. He also co-founded Teleshphora, an award winning startup that used geotemporal event modeling to mitigated opioid overdose outbreaks. Dara has a BS in physical chemistry with a minor in bioinformatics.

  • Larissa Roux MD PhD

    Larissa Roux MD PhD

    Adjunct Professor, Medicine - Primary Care and Population Health

    BioLarissa Roux is a sport medicine physician and health economist. She completed medical school at the University of Alberta, and followed this with residency training in family medicine and a fellowship in primary care sport medicine at the University of Calgary, as well as advanced training in lifestyle medicine. She combined her clinical training with a master’s in public health at Harvard, and a PhD in health economics at the University of Calgary. Her interest in public health and health policy resulted in a post-doctoral fellowship at the US Centers for Disease Control, in Atlanta in the Division of Nutrition and Physical Activity. Although she has deeply enjoyed working with athletes and dancers, her main clinical interest has been in the optimization of human performance in patients with chronic conditions, including obesity, arthritis, and trauma. Her academic and health policy work has focused on the economic evaluation of competing therapies for obesity, and population-level physical activity promotion strategies in the US and around the world. Larissa's interest in data science and technology applications in global health contributed to an ongoing health information technology venture. She believes that innovative, tailored, multidisciplinary, and multimodal approaches to chronic disease have transformative potential in human health.

  • Corey Rovzar

    Corey Rovzar

    Instructor, Medicine - Stanford Prevention Research Center

    Current Research and Scholarly InterestsEnhancing human movement through scalable, remotely delivered physical activity interventions, remote assessment and monitoring of human movement, health technology development, fall prevention, aging, digital balance assessment, improving access to health and healthcare, increasing healthspan, lifestyle medicine

  • Anuradha Roy

    Anuradha Roy

    Casual - Non-Exempt, Anesthesia - Adult Pain Medicine

    BioAnuradha (Anu) Roy is the Project Manager for the NCCIH R01 Grant, Single Session Pain Catastrophizing Treatment Efficacy and Mechanisms Trial in Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford Medical School. Originally from the East Coast, she received her BS in Biomedical Engineering from the University of Virginia and her MSc in Public Health in Developing Countries from London School of Hygiene & Tropical Medicine. After years of working abroad in global public health, her research interest transitioned to the public health impact of chronic health conditions - in particular, chronic pain - and understanding the intersection of mind’s impact on health and well-being. For the past three years, on the R01, she has been running day-to-day operations and management of study recruitment, data collection/pre-processing, and reporting. In the near future, she plans to pursue a PhD in Clinical Psychology. In her spare time, Anu enjoys home/exterior design projects, spending time with her partner and dog, creating community, and finding the best food in the San Francisco Bay Area.

  • Mohana Roy, MD

    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

    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.