Stanford University
Showing 1,401-1,410 of 1,483 Results
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Tina Duong MPT, PhD
Sr Res Scientist-Basic Life, Adult Neurology
BioAs the Director of Clinical Outcomes and Research Development, and the Co-Founder and Co-Director of the Neuro-IGNITE Center at the Stanford University School of Medicine, I focus on translational rehabilitation science, psychometric measurement theory, clinical outcomes development, trial design, and digital health technology for individuals with neuromuscular disorders.
My research is guided by a simple premise: measurement determines access. Individuals who are harder to measure, and constructs that are meaningful to patients but difficult to quantify, are frequently overlooked in clinical trials, limiting both trial participation and treatment access. Complementing established functional scales, our team works to bridge this gap by defining the concept of interest and context of use with patients, clinicians, and regulators, then developing and validating fit-for-purpose clinical outcome assessments and digital endpoints across neuromuscular disorders, including spinal muscular atrophy, Duchenne muscular dystrophy, myotonic dystrophy, and facioscapulohumeral muscular dystrophy. This alignment supports a clearer regulatory path so that patients who have been difficult to measure can qualify for trials, demonstrate meaningful benefit, and gain access to therapies.
Bridging clinical expertise and computational engineering, I collaborate with bioengineers to integrate digital health tools, including markerless motion capture (OpenCap) and multimodal sensors (wearables, video and imaging biomarkers, cardiopulmonary exercise testing) into clinical research. Together, we aim to better understand disease mechanisms and functional impact across the drug development pipeline. This work has contributed high-resolution, video-based kinematic datasets and minimal clinically important difference (MCID) thresholds that inform regulatory benchmarks for clinical trials and therapeutic evaluations.
Key Academic & Research Focus Areas:
•Outcome Measure Development & Psychometrics: Developing and validating functional instruments and digital biomarkers designed to meet regulatory standards in rare diseases.
•Digital Biomechanics & Kinematic Modeling: Applying markerless motion capture and wearable inertial sensors to quantify disease progression and subtle changes in movement.
•Translational Clinical Trial Design: Advising on endpoint selection and contributing to international natural history studies to improve trial readiness, reduce participant burden, and strengthen statistical sensitivity.
•Scientific Leadership & Mentorship: Leading multi-center academic consortia, publishing peer-reviewed research, and mentoring the next generation of clinical researchers. -
Gabriel Dupuis
Affiliate, Geophysics
BioI am a Master of Science candidate in Computational Science and Engineering at the Harvard John A. Paulson School of Engineering and Applied Sciences and a Bachelor of Engineering graduate from Institut Polytechnique de Paris – ENSTA Paris.
I am interested in real-world applications of machine learning and AI, particularly for understanding complex physical systems.
At Stanford’s Department of Geophysics, I worked under the supervision of Prof. Greg Beroza and Ian McBrearty on graph neural networks for earthquake phase association.
Check my website at gabrieldupuis.me -
Jean-Pierre Dupuy
Professor of French and Italian and, by courtesy, of Political Science
BioProfessor Jean-Pierre Dupuy is a Professor of Social and Political Philosophy at the École Polytechnique, Paris. He is the Director of research at the C.N.R.S. (Philosophy) and the Director of C.R.E.A. (Centre de Recherche en Épistémologie Appliquée), the philosophical research group of the École Polytechnique, which he founded in 1982. At Stanford University, he is a researcher at the Study of Language and Information (C.S.L.I.) Professor Dupuy is by courtesy a Professor of Political Science.
In his book The Mechanization of the Mind, Jean-Pierre Dupuy explains how the founders of cybernetics laid the foundations not only for cognitive science, but also artificial intelligence, and foreshadowed the development of chaos theory, complexity theory, and other scientific and philosophical breakthroughs.
