Stanford University
Showing 24,901-24,910 of 34,972 Results
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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
SU Student - Summer, Summer SessionCurrent Research and Scholarly InterestsMultimodal electrophysiology, sleep neuroscience
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Anoop Rao
Assistant Professor of Pediatrics (Neonatology)
Current Research and Scholarly InterestsWearable senors, unobtrusive vital sign monitoring, natural language processing/text mining
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Asad Gul Rao
Postdoctoral Scholar, Pediatric Surgery
BioAs a Postdoctoral Research Scholar in the Division of Pediatric Surgery at Stanford University School of Medicine, I conduct outcomes research focused on improving the care of children with surgical disorders. My work integrates clinical epidemiology, large-scale healthcare databases, and population-level analyses to study pediatric surgical outcomes, healthcare disparities, and global disease burden.
My research interests include pediatric surgical infections, congenital anomalies, health services research, and evidence-based approaches to optimizing surgical care. I have experience working with multicenter clinical databases and international collaborative research initiatives, with a particular interest in translating real-world data into findings that help clinical practice and healthcare policy.
My long-term goal is to pursue a career in academic pediatric surgery, combining clinical practice with research to improve surgical outcomes and expand access to high-quality care for children worldwide. -
Ashwin Rao
Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)
BioMy current research and teaching is in Machine Learning (specifically RL) with applications to Financial Markets and Retail businesses. My academic origins are in Algorithms Theory and Abstract Algebra. More details on my background are here: https://www.linkedin.com/in/ashwin2rao/
My Stanford Home Page: https://stanford.edu/~ashlearn
CME 241 ("RL for Finance"), which I teach each Winter quarter: http://cme241.stanford.edu
