School of Medicine
Showing 71-80 of 90 Results
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Shadi Momtahen
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioShadi Momtahen holds a BSc and MSc in Computer Science and Engineering, and a Ph.D. in Mechatronic Systems Engineering from Simon Fraser University, where she collaborated with the BC Cancer Agency on deep learning applications for cancer detection and treatment. She previously served as a Postdoctoral Research Fellow in the Department of Medicine at the University of British Columbia, working with the International Collaboration on Repair Discoveries (ICORD) to develop machine learning models for biosensor-based health monitoring.
Currently, Shadi is a Postdoctoral Scholar at the Aghaeepour Lab at Stanford Medicine. Her research focuses on applying deep learning to large-scale medical datasets—including wearable vital signs—to identify clinically relevant patterns and enable predictive, personalized healthcare. -
Samuel Montalvo
Postdoctoral Scholar, Cardiovascular Medicine
BioAs a clinical exercise physiologist, sport scientist, and biomechanist, I study the mechanical, physiological, and molecular determinants of human performance and health. I am certified as a Performance and Sport Scientist (CPSS), Strength and Conditioning Specialist with Distinction (CSCS,*D), and Clinical Exercise Physiologist.
I am a Postdoctoral Scholar in Cardiovascular Medicine at Stanford University and a member of the Stanford Bioinformatics Core and Wu Tsai Human Performance Alliance. My training has been supported by the Wu Tsai Human Performance Alliance Postdoctoral Fellowship, the NIH T32 Research Training in Myocardial Biology at Stanford, and a two-year NIH/NHLBI Loan Repayment Program award in Research in Emerging Areas Critical to Human Health.
My research integrates clinical exercise physiology, cardiopulmonary exercise testing, biomechanics, and multi-omics to better understand how physical activity influences cardiovascular health, biological adaptation, and athletic performance. Through the NIH-funded Molecular Transducers of Physical Activity Consortium, I analyze large clinical, multi-omic, multi-tissue, multi-modality, and multi-species datasets to identify mechanisms and biomarkers of exercise response.
I also collaborate on projects involving sports cardiology and electrocardiography, cardiopulmonary exercise testing, exercise and neuromuscular disease, and athlete performance, including work with Stanford Baseball and external sports-science collaborators.
Teaching and mentoring are central to my academic work. As a first-generation college graduate and Mexican American with Indigenous heritage, I am committed to creating supportive and inclusive pathways for trainees from underrepresented backgrounds. I serve as a Postdoctoral Mentoring Coach with the Stanford Office of Postdoctoral Affairs, participate in the Stanford PRISM program, and mentor prospective and current medical students through the MAVERICs program within the Stanford Cardiovascular Institute.
My long-term goal is to lead an independent research program that combines exercise physiology, multi-omics, physical activity, nutrition, cardiovascular science, and sports performance while mentoring the next generation of scientists.
