Stanford University
Showing 1,301-1,320 of 1,477 Results
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Imee Diego DuBose
Director, Alumni Education, Alumni Education Admin
Current Role at StanfordDirector, Alumni Education
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Alfredo Dubra, PhD
Professor of Ophthalmology
Current Research and Scholarly InterestsOur lab seeks to help the early diagnosing and monitoring progression of ocular, vascular, neurodegenerative and systemic diseases through novel non-invasive optical ophthalmic imaging. We pursue this goal through a multidisciplinary approach that integrates optics, computer science, vision science, electrical engineering and other engineering disciplines.
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Piotr Dubrowski
Clinical Instructor, Radiation Oncology - Radiation Physics
BioPiotr Dubrowski is a Canadian trained and board-certified Therapy Medical Physicist. Throughout his career Piotr has had the opportunity to bring several new Cancer Clinics operational from the ground up, where he was able to hone a broad, systems-approach to Radiation Oncology. He was recently promoted to Associate Quality Director of Physics responsible for improving patient safety and workflow/technology improvements across a wide cancer care network. Piotr’s research interests focus mainly on improving the treatment planning process and increasing clinic safety through software development and hardware 3D-print prototyping. Additionally, Piotr has sought out opportunities to give back to the Global community with participation in the Stanford Global Radiation Oncology Outreach efforts expanding education and access to care in Tanzania and Kenya and throughout the developing world via online Radiation Therapy courses.
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John Duchi
Associate Professor of Statistics, of Electrical Engineering and, by courtesy, of Computer Science
Current Research and Scholarly InterestsMy work spans statistical learning, optimization, information theory, and computation, with a few driving goals: 1. To discover statistical learning procedures that optimally trade between real-world resources while maintaining statistical efficiency. 2. To build efficient large-scale optimization methods that move beyond bespoke solutions to methods that robustly work. 3. To develop tools to assess and guarantee the validity of---and confidence we should have in---machine-learned systems.
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ashley dudarenok
Affiliate, Graduate School of Business - Executive Education
BioAshley Dudarenok is a Chinese entrepreneur, author, and media personality, recognised by Thinkers50 as a “guru on fast‑evolving trends in China.” She is the founder of ChoZan, an immersive executive education company that helps Fortune 500 leaders learn from China’s digital transformation and innovation ecosystem.
Through China Innovation Tours, executive immersions, and strategic briefings, Ashley and her team provide senior leaders with firsthand access to China’s most innovative companies. ChoZan also delivers proprietary insights, market research, and tailored learning programmes focused on digital transformation, consumer trends, and next‑generation technologies.
Ashley is a sought‑after keynote speaker and the author of several bestselling books on China’s digital economy. She runs a widely read newsletter and engages a B2B community of over 500,000 global China watchers across LinkedIn and YouTube. Her latest venture, The Hidden Switch, spotlights billion‑dollar founders from emerging markets who are reshaping the world. -
Ramzi Emanuel Dudum
Member (Postdoc), Cardiovascular Institute
BioDr. Dudum is a cardiologist and population health expert working to develop novel risk prediction methods and implementation strategies to create practices and systems that allow for reductions in cardiovascular disease. He completed a Masters in Public Health at Johns Hopkins concentrating in epidemiology and biostatistics and a Doctorate of Medicine at George Washington University.
He completed internal medicine residency training as part of the Osler Medical Service, where he worked under the mentorship of Drs. Roger Blumenthal and Michael Blaha to study improving cardiovascular risk prediction and coronary artery calcium. Given his focus on population health and implementation science, he also helped launch and refine risk adjustment tools and implemented guideline-directed medical care pathways. During his time there, he was recognized for his clinical acumen and dedication to patient care.
He came to Stanford for his cardiovascular medicine fellowship and continued research in coronary artery calcium under the mentorship of Drs. David Maron and Fatima Rodriguez while also conducting cardiovascular health implementation science work under the mentorship of Dr. Steve Asch. He serves as the co-investigator of a prospective randomized trial testing the effects of notification of incidental coronary artery calcium on statin initiation rates among those with and without cardiovascular disease (NCT 05588895). He has worked with hospital leaders to implement digital health and artificial intelligence tools, creating the infrastructure for the prospective use of AI-algorithms on radiology studies. As a preventive cardiologist and population health expert, he leads efforts in the preventive cardiology section related to improving cardiovascular health.