School of Medicine
Showing 71-80 of 87 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 and sport biomechanist, I am dedicated to advancing human exercise and sports performance. I hold certifications as a Performance and Sport Scientist (CPSS) and as a Strength and Conditioning Specialist with Distinction (CSCS, *D) from the National Strength and Conditioning Association (NSCA). In 2022, I was honored with the Wu Tsai Human Performance Alliance Post-Doctoral Research Fellowship and a T32 Post-Doctoral Fellowship, Research Training in Myocardial Biology (TIMBS) at Stanford University.
My research focuses on understanding the mechanical, molecular, and physiological mechanisms that underpin human performance. I am also committed to developing innovative and practical training methods to enhance exercise and sports performance. Currently, I am a member of the Stanford Bioinformatics Core, contributing to the NIH-funded Molecular Transducers of Physical Activity Consortium (MoTrPAC) project. In this capacity, I analyze extensive clinical and exercise datasets, as well as multi-omic, multi-tissue, multi-exercise modality, and multi-species data, to uncover new insights into the biological mechanisms of physical activity and its impact on human health and performance.
In addition to my primary research focus, I collaborate with several teams at Stanford on projects involving Sports and Electrocardiography, Cardiopulmonary Exercise Testing, Exercise and Neuromuscular Disease, and the Stanford Baseball Team.
Beyond research, I am deeply committed to teaching and mentoring. As a first-generation college graduate and a Mexican-American with Indigenous heritage, I bring a unique perspective to my work, which informs my dedication to creating supportive and inclusive spaces for underrepresented groups in science and education. I serve as a Post-Doc Mentoring Coach in collaboration with the Stanford Office of Postdoctoral Affairs, where I facilitate bi-weekly workshops on mentoring for postdocs. I am also part of the Stanford PRISM program, which promotes opportunities for postdoctoral scholars. Furthermore, I mentor prospective and current medical students through the MAVERICs program (Metascience Analyses and Explorations of Reproducibility in Cardiovascular Science) as part of the Stanford Cardiovascular Institute, supporting their growth in cardiovascular research.
These experiences reflect my dedication to fostering an inclusive and supportive academic environment. My long-term goal is to become a professor, combining my passion for research, education, and mentoring the next generation of scientists to advance the fields of exercise physiology, multi-omics, and sports science. -
Sakib Mostafa
Postdoctoral Scholar, Radiation Physics
BioI am a Postdoctoral Research Fellow at Stanford University with a background in computational genomics and deep learning. My research focuses on developing AI-powered tools for genomic analysis, with a particular interest in cancer classification, pangenomes, and genotype imputation. Previously, I worked as a Research Officer at the National Research Council of Canada, contributing to large-scale sequencing projects and machine learning interfaces for biologists. I am passionate about bridging domain biology with cutting-edge computational methods to solve complex biological questions and drive innovation in precision agriculture and healthcare.
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Eric Mou, MD
Postdoctoral Medical Fellow, Oncology
BioI was born in Oregon and raised in Iowa, where I cultivated my initial interest in science and medicine. I completed my undergraduate degree and medical school at the University of Iowa before heading to Stanford University for my internal medicine residency and oncology fellowship training. I chose this field to try my best in assisting patients during times of great need, and working to understand what is of greatest importance to them as they navigate their unique journey of cancer care. My clinical focus is in the care of patients with lymphoma and other hematologic cancers. My scholarly interests include better understanding the efficacy cancer therapeutics, improving patients' experience as the proceed through treatment, and promoting strength in medical education.
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Solene Moulin
Postdoctoral Scholar, Pathology
BioI am a very curious person who likes to understand how things work and I love to contribute to new discoveries that will help to cope with tomorrow’s challenges. After my studies at the Ecole Normale Supérieure Ulm, I got specialized in plant science. I am interested in this research field because plants are critical for environment as well as for food and bio-energy production. In 2016, I joined CEA Cadarache for my PhD which led me to participate in a research program on hydrocarbon synthesis in algae. I really liked this project which was focusing on both reaching a bio-based production of hydrocarbons for fuel production and deciphering of the hydrocarbon synthesis pathway in algae. I have been leading research to assess the occurrence of this pathway in the different types of eukaryotic algae, its evolutionary history and its relevance for algal physiology. I am now going to study another evolutionary history that has led to a symbiosis between a diatom and a N-fixing cyanobacteria, the latest being on its way to become an organelle. Understanding the physiological relationship between the diatom and the cyanobacteria will help understanding nitrogen cycle and could lead to major innovations in farming.
