Stanford University
Showing 1-20 of 3,288 Results
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Raya Saab
Lindhard Family Professor of Pediatric Cancer Biology
BioI am a pediatric oncologist, and I primarily treat children who are diagnosed with soft tissue sarcomas including rhabdomyosarcoma, and children diagnosed with the eye tumor retinoblastoma, as well as children with other solid tumors.
I have two very different areas of primary research interest, both of which I pursue with passion. One focuses on global oncology, including clinical and research resource capacity building towards effective treatment and improving outcomes of children with cancer worldwide. I work with collaborators across the globe towards a common goal of improving access to diagnostic and clinical care, training of multidisciplinary teams, and building clinical resources and research capacity to develop context-informed approaches to improving cancer care and achieving better outcomes for children diagnosed with cancer irrespective of where they happen to live.
My parallel research interest, which is the focus of my laboratory, is understanding oncogenic signaling in pediatric soft tissue sarcomas, in an effort to clarify the driving biology and determinants of metastatic disease, to uncover novel targets for more effective treatment. We use preclinical in vitro and in vivo models, including murine and human cell lines, and mouse models of cancer. We have recently uncovered a paracrine role for rhabdomyosarcoma-secreted exosomes in impacting biology of stromal cells. Rhabdomyosarcoma-derived exosomes carry specific miRNA cargo that imparts an invasive and migratory phenotype on normal recipient fibroblasts, and proteomic analysis revealed specific and unique pathways relevant to the two different molecular rhabdomyosarcoma subtypes that are driven by distinct oncogenic pathways. We identified that the driver oncogene in fusion-positive rhabdomyosarcoma, PAX3-FOXO1, modulates exosome cargo to promote invasion, migration, and angiogenic properties, and identified specific microRNA and protein cargo acting as effectors of PAX3-FOXO1 exosome-mediated signaling, including modulation of oxidative stress response and cell survival signaling. Our ongoing work is focused on interrogating specific paracrine signaling pathways and molecular mechanisms of metastatic disease progression in rhabdomyosarcoma, for potential therapeutic targeting. -
Nojus Saad
Masters Student in Clinical Informatics Management, admitted Summer 2026
BioNojus Saad, MD, is a physician-entrepreneur and digital health diplomat dedicated to building AI-enabled health systems transforming how patients navigate and access care in LMIC communities. As a former advisor to the World Health Organization (WHO), he co-developed global adolescent health indicators adopted by the World Bank, UNFPA, UN H6+ Partners, and UN Member States. His leadership in rural and LMIC communities across Iraq, India, and France is anchored by his role as a former founder and executive at Youth For Women Foundation, where he spearheaded 45 youth-led initiatives directly impacting the lives of 18,500 women and young people.
Dr. Saad’s experience spans health, technology, and global policy, having served as UN Youth Ambassador for Disarmament and Biosecurity (UNODA) and as the MENA Youth Lead for the Swiss-based DTH-Lab. Through these mandates, he mobilized coalitions across 12 MENA countries to integrate digital innovation into national health agendas. His work combines clinical insight, systems thinking, stakeholder leadership, and technology implementation in fragmented health systems. In 2021, he orchestrated a digital health literacy and COVID-19 misinformation initiative for rural and displaced populations. By building the digital capacity of NGO leaders and youth, he empowered grassroots networks to execute 15 targeted campaigns, reaching 10,000 women and young people to strengthen access to reliable health services.
Looking ahead, Dr. Saad aspires to build a coordinated digital health platform connecting Iraq’s public and private healthcare sectors. The envisioned system would combine interoperable electronic health records, AI-enabled care navigation and referral matching to streamline patient pathways and connect individuals with high-quality, cost-effective care within Iraq and internationally, including the United States and France. His long-term vision is to scale AI-enabled products that transform fragmented health systems into connected care pathways.
A Knight-Hennessy Scholar and former advisor to Lady Gaga’s Born This Way Foundation, Dr. Saad holds an MD with executive diplomatic training from the Karolinska Institute and Stockholm School of Economics. At Stanford MCiM, he is refining the product, technical, and managerial capabilities to translate complex health-system problems into scalable digital solutions, particularly for LMICs. -
Victor Saad
Affiliate, Programs
BioIn 2012, I designed my own Masters by completing 12 projects in 12 months. I called it The Leap Year Project and my experiences culminated with staging my graduation at a local TEDx and publishing a book of stories focused on the power of learning through risk. I later launched Experience Institute, an organization helping college students and career professionals learn and grow through real-world experiences.
In 2015, I was inducted into Forbes 30 Under 30 in the field of education. And in 2017, I joined the team at Stanford’s d.school as a Lecturer in Design, helping students reimagine their learning through experience. -
Jon Saad-Falcon
Ph.D. Student in Computer Science, admitted Summer 2023
BioCheck out my personal website for more information: https://jonsaadfalcon.com/
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Chiara Sabatti
Professor of Biomedical Data Science and of Statistics, and Senior Fellow at the Stanford Institute for Human-Centered Artificial Intelligence (HAI)
Current Research and Scholarly InterestsStatistical models and reasoning are key to our understanding of the genetic basis of human traits. Modern high-throughput technology presents us with new opportunities and challenges. We develop statistical approaches for high dimensional data in the attempt of improving our understanding of the molecular basis of health related traits.
