Stanford University
Showing 2,101-2,120 of 2,888 Results
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Siavash Moghadami
Ph.D. Student in Chemical and Systems Biology, admitted Summer 2022
BioSiavash Moghadami is a Ph.D. student in Chemical and Systems Biology at Stanford University School of Medicine, co-mentored by Professors Carolyn Bertozzi and Longzhi Tan. His work sits at the intersection of chemical biology, neuroscience, artificial intelligence (AI), and aging, with a long-term vision of building programmable brain–body physiology for healthy longevity so that fewer families have to watch their loved ones age in frailty.
Before Stanford, Siavash earned his B.Sc./M.Sc. in Biochemistry and Chemical Biology from the University of California, San Diego, graduating summa cum laude with highest departmental distinction and honors.
A proud immigrant pursuing the American dream, Siavash feels a profound sense of love and gratitude for the United States, which gave him a new home and a path into higher education and scientific discovery. His research on brain–body physiology and healthy longevity is, in many ways, his way of giving back—honoring the opportunities he found in America and working to protect the health and independence of his own and others’ loved ones. -
Ariam Mogos
Lecturer
BioAriam Mogos leads emerging technology initiatives at Stanford's Hasso Plattner Institute of Design (d.school), where she helps students and educators work with emerging technologies like AI and blockchain, and shapes conversations around the tech’s ethical implications on humans and nature. Her design work and research also investigates the ways that technology can foster playful learning experiences that bridge communities and cultures.
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Maryam Mohagheghtabar
Research Scholar, Psychology
BioI am a researcher with a PhD in Mathematics working at the intersection of mathematical modeling, machine learning, and medical data analysis. My research focuses on developing interpretable, stable, and mathematically grounded models for complex biomedical data.
My background includes work on large-scale biomedical datasets, including cancer and brain imaging data, where I focused on two core foundations of model design: (i) regularization, to improve stability, reduce overfitting, and incorporate the intrinsic structure of the data; and (ii) convex optimization, to ensure well-behaved optimization landscapes with globally optimal and computationally tractable solutions.
Currently, I apply mathematical modeling and machine learning methods to the analysis of functional magnetic resonance imaging (fMRI) data. -
Shayan Mohajer Hamidi
Postdoctoral Scholar, Electrical Engineering
Current Research and Scholarly InterestsReasoning in large language models (LLMs) and improving their systematic generalization
Post-training and fine-tuning methods for alignment, reliability, and efficiency
Autonomous agent architectures built on top of foundation models
Generative modeling with diffusion models and their multimodal applications
Theory and optimization methods for modern deep learning systems -
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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Maha Abdalla Mohamed, MD, FACP, FAST
Clinical Associate Professor, Medicine - Nephrology
BioDr. Mohamed is a board-certified, fellowship-trained nephrologist with the Kidney and Pancreas Transplant Program at Stanford Healthcare. She is a clinical associate professor in the Department of Medicine, Division of Nephrology.
Dr. Mohamed specializes in kidney and pancreas transplant outcomes and kidney transplant health equity. Conditions she treats include allografts rejection, recipient BK virus and CMV infection, and post-transplant lymphoproliferative disorder management. Dr. Mohamed is known for her personalized and comprehensive approach to patient care. She takes the time to understand her patients’ unique health needs and creates tailored care plans that fit their lifestyles.
Dr. Mohamed’s research interests include examining new approaches to improving kidney transplant long-term outcome including kidney transplant rejection and infection. She also seeks to develop better screening and monitoring guidance to help reduce post-transplant BK virus and CMV infection.
Dr. Mohamed’s published work can be found in peer-reviewed journals such as Clinical Transplantation, Transplant Infectious Disease and Transplantation. She has presented to her peers at international, national, and regional meetings, including at the American Transplant Congress and the American Society of Nephrology. She has also been invited to speak multiple times at King Faisal Hospital in Rwanda as well as in Kingdom of Saudi Arabia on topics like post-transplant lymphoproliferative disorder, update in kidney transplant rejection, and update in living-donor kidney transplantation.
Dr. Mohamed is a faculty fellow of Stanford Center for Innovation in Global Health, fellow of the American Society of Transplantation, a board of managers member of the AST Transplant Nephrology Fellowship Training Accreditation Program, member of the International Society of Nephrology and the American Society of Nephrology.
