Stanford University
Showing 141-150 of 185 Results
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Islam Mohamed Nour Hassan Mohamed
Postdoctoral Scholar, Pediatric Surgery
BioDr. Islam Nour is a molecular virologist with over fifteen years of research experience spanning viral genomics, reverse genetics, and structural–functional analysis of pathogenic RNA viruses. As a previous postdoctoral fellow in Molecular Virology at USDA-ARS, he designed and deployed reverse-genetics systems for IBDV and avian reovirus, integrated Illumina and Oxford Nanopore sequencing with comparative genomics, and coupled these approaches to IHC/IF-based pathogenesis models. His earlier work on rotavirus and SARS-CoV spike evolution, protein modelling, and molecular viral surveillance further strengthened his ability to connect viral sequence variation to phenotypic outcomes and tissue injury. He is particularly motivated to bring this mechanistic and translational expertise to multidisciplinary clinical teams in pediatric liver disease and transplantation in division of pediatric surgery in Stanford Medicine, contributing rigorous viral pathogenesis, vector design, and protein expression skills to clinically relevant models and biomarker discovery.
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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.
