Stanford University
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Julia D. Ransohoff
Instructor, Medicine - Oncology
BioDr. Ransohoff received her B.A. from Harvard College in Human Developmental and Regenerative Biology and completed her medical training at Stanford University, where she received her M.D., completed residency in internal medicine, and fellowship training in hematology and oncology as part of the American Board of Internal Medicine Physician Scientist Training Program.
Dr. Ransohoff is a physician-scientist dedicated to improving breast cancer treatments and outcomes through developing genomic methods to profile how tumors respond to treatment. Her research focuses on molecular approaches to understand the variable clinical responses of breast cancers to treatment at the genomic level by profiling molecular residual disease. Her current work involves exploring mechanisms of chemoresistance and immune evasion and identifying novel therapeutic targets. In related work, she also studies epidemiological risk factors for breast cancer mortality with a focus on the gut microbiome, oncofertility, and racial and ethnic differences in treatment response. Dr. Ransohoff's research has been supported by the ASCO Conquer Cancer Foundation, the Terri Brodeur Breast Cancer Foundation, the Stanford Cancer Institute, ECOG-ACRIN, and the Chan Zuckerberg Initiative.
As an Instructor in the Division of Medical Oncology, Dr. Ransohoff is also a clinically active oncologist, treating patients with breast cancer. -
Adrit Rao
Affiliate, School of Medicine - MDRP'S - Biodesign Program
BioAdrit is passionate about research at the intersection of deep learning, healthcare, and mobile apps. For the past four years, he has been conducting digital health research at Stanford's Vascular Surgery division. He is also a member of the Stanford Mussallem Center for Biodesign's Digital Health group and serves as a TA for Stanford's CS342 course.
Adrit has co-authored 16 peer-reviewed publications, including 13 as first author. He has presented at several prestigious international conferences, including MICCAI, ICCV, CVPR, and MWSCAS. He developed AutoABI, a patent-pending AI-enabled app for peripheral artery disease diagnosis. He developed the A4 deep learning pipeline for automated abdominal aortic aneurysm measurement which is open-sourced through Stanford AIMI's Comp2Comp. His research also focuses on improving the explainability of computer vision for medical image analysis. He is also a contributor to Stanford Spezi's digital health ecosystem. -
Akshita Rao
Ph.D. Student in Bioengineering, admitted Autumn 2022
Current Research and Scholarly InterestsMultimodal electrophysiology, sleep neuroscience
