Stanford University
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Magali Fassiotto
Associate Vice Provost for Faculty Advancement, Office of Faculty Advancement
Current Role at StanfordAssociate Vice Provost
Stanford University Office of Faculty Advancement -
Kayvon Fatahalian
Associate Professor of Computer Science
BioKayvon Fatahalian is an Associate Professor in the Computer Science Department at Stanford University. Kayvon's research focuses on the design of systems for real-time graphics, high-efficiency simulation engines for applications in entertainment and AI, and platforms for the analysis of images and videos at scale.
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C. Garrison Fathman
Professor of Medicine (Immunology and Rheumatology), Emeritus
Current Research and Scholarly InterestsMy lab of molecular and cellular immunology is interested in research in the general field of T cell activation and autoimmunity. We have identified and characterized a gene (GRAIL) that seems to control regulatory T cell (Treg) responsiveness by inhibiting the Treg IL-2 receptor desensitization. We have characterized a gene (Deaf1) that plays a major role in peripheral tolerance in T1D. Using PBC gene expression, we have provisionally identified a signature of risk and progression in T1D.
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Mohsen Fathzadeh
Genomic Scientist, Institute For International Studies, Loyalka, Prashant's Program
BioMohsen Fathzadeh is a medical geneticist with 20+ years of experience bridging science, care, and innovation.
His academic journey began at Yale University, where he completed his Ph.D. thesis under Prof. Arya Mani, focusing on a genetic form of familial Metabolic Syndrome. From 2015 to 2021, he served as a Postdoctoral Fellow at Stanford University, specializing in Cardiovascular Medicine, Psychiatry, and Public Health Sciences. During this tenure, he conducted comprehensive functional genomic analyses under the mentorship of esteemed professors.
Mohsen's collaborative efforts with Merck & Co., Inc. led to the identification of a gene regulator associated with body fat distribution. His research scope also includes the characterization of genes linked to insulin resistance and obesity. Recently, he explored the (epi)genetic link between newborn body fat distribution and high maternal gestational glucose levels, focusing on mother-child cohorts from diverse and underserved communities.
His primary goal is to utilize his findings to enhance our understanding of the genes and evolutionary pathways influencing healthspan and age-related diseases, thereby improving patient lives.
After completing his postdoctoral research in 2021, Mohsen spent two years in the biotech industry, specializing in genetic testing and variant assessment. He has an ongoing research project with Stanford's Population Health Center, studying epigenetic disease mechanisms in mother-child cohorts.
Mohsen recently joined Stanford's Graduate School of Education and the Freeman Spogli Institute for International Studies to work with Prof. Prashant Loyalka on a pioneering study that explores how educational interventions in genetic counseling can empower families—particularly in the context of autism spectrum disorders. This new chapter reflects his deepening commitment to integrating genomic science with public health education, leveraging AI and evidence-based learning to promote equity, early intervention, and informed decision-making across diverse populations. As the field of genetic counseling evolves, Mohsen envisions a future where accessible education and responsible innovation in educational AI can help every individual—and every story—be seen, heard, and supported.
Outside his professional life, Mohsen leads an active lifestyle and enjoys learning about diverse cultures. -
Loredana Fattorini
Data Analyst 3, Institute for Human-Centered Artificial Intelligence (HAI)
BioLoredana is a Research Manager at Stanford's Institute for Human-Centered Artificial Intelligence (HAI), where she spearheads the flagship AI Index in close collaboration with the AI Index Lead. She leads a dedicated team of students and researchers and directs the data-driven analysis behind the AI Index annual report and the Global AI Vibrancy tool. By leveraging advanced data analysis, Loredana translates the complex, rapidly evolving artificial intelligence landscape into accessible, actionable insights for global policymakers, industry leaders, researchers, and the general public.
Loredana holds a Ph.D. in Applied Economics from the IMT School for Advanced Studies Lucca, Italy, where she conducted empirical research in Industrial Organization and International Trade. She earned both her Bachelor's and Master's degrees with honors in Economics from the University of Pisa and Scuola Superiore Sant'Anna, Italy.
Prior to joining Stanford HAI, Loredana served as a Visiting Researcher at the Vienna Institute for International Economic Studies (WiiW), investigating the competitiveness of European firms for a project funded by the Austrian National Bank. Her diverse background also includes experience driving data strategy as a Data Analyst for a high-growth eCommerce startup, managing online sales for Europe's largest food retail cooperative.
