Stanford University


Showing 61-70 of 428 Results

  • Humera Fasihuddin

    Humera Fasihuddin

    d.school Systems Architect, d.school

    BioHumera co-directs the University Innovation Fellows Program. She trains students to create lasting institutional impact that enhances the innovation and entrepreneurship ecosystem on campus.

    Prior to the University Innovation Fellows program, she worked for nonprofit VentureWell and led the creation of numerous programs including the organization’s first foray in advanced venture training workshops, which today account for over half of the 501c(3)’s income. Before that, she created innovation networks between industry and the University of Massachusetts Amherst under an NSF Partnership for Innovation grant.

    Humera began her career at the publicly-traded UK firm Rexam, serving as product manager in their precision coated materials subsidiary. Humera holds an M.B.A. from UMass Amherst and a B.S. from Smith College.

  • Magali Fassiotto

    Magali Fassiotto

    Associate Vice Provost for Faculty Advancement, Office of Faculty Advancement

    Current Role at StanfordAssociate Vice Provost
    Stanford University Office of Faculty Advancement

  • Mohsen Fathzadeh

    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

    Loredana Fattorini

    Data Analyst 3, Institute for Human-Centered Artificial Intelligence (HAI)

    BioLoredana is a Research Associate at Stanford's Institute for Human-Centered Artificial Intelligence (HAI), where she is a member of the AI Index team. She is primarily involved in preparing the AI Index annual report and developing the Global AI Vibrancy tool. Using data analysis techniques, Loredana helps make complex information regarding the rapidly evolving AI landscape more accessible and understandable for policymakers, industry leaders, researchers, and the general public.

    With a Ph.D. in Applied Economics from the IMT School for Advanced Studies Lucca, Italy, Loredana has conducted empirical research in the fields of Industrial Organization and International Trade. She also holds both Bachelor's and Master's degrees with honors in Economics from the University of Pisa and Scuola Superiore Sant'Anna, Italy.

    Before joining HAI, Loredana worked as a Visiting Researcher at the Vienna Institute for International Economic Studies (WiiW). Her research focused on the competitiveness of firms in Europe, as part of a project funded by the Austrian National Bank. Additionally, she worked as a Data Analyst for a fast-growing eCommerce startup that managed online sales for Europe's largest food retail cooperative.