Over 1,300 faculty are affiliated with Stanford Bio-X and are eligible to apply for our grants and be notified about fundraising opportunities, collaborations with industries, events, courses and available facilities and instruments. Learn how to become an affiliate!
Dr. Md Tauhidul Islam is an Assistant Professor in the Department of Radiation Oncology at Stanford University. He leads a research program focused on developing advanced AI methodologies for biomedical data analysis, including medical imaging, multi-omics data integration, and human-centered machine learning frameworks for scientific discovery.
Dr. John Mitchell is the Mary and Gordon Crary Family Professor, professor of computer science, and by courtesy professor of electrical engineering and professor of education. He was previously Stanford Vice Provost for Teaching and Learning and chair of the Computer Science Department. As vice provost, his team worked with more than 500 Stanford faculty members and instructors on over 1,000 online projects for campus or public audiences and organized the Year of Learning to envision the future of teaching and learning at Stanford and beyond.
Dr. Sun Kim is a board-certified endocrinologist who specializes in the treatment of type 2 diabetes, polycystic ovarian syndrome (PCOS), and obesity. She is particularly devoted to helping individuals change their lifestyles and achieve sustained improvements in their health.
Dr. Kim also works closely with the reproductive endocrinology group to help women improve their health, lose weight, and maximize their chances for a successful pregnancy.
Dr. Susan Hiniker is an Associate Professor of Radiation Oncology in Radiation Therapy at Stanford University, and practices at Stanford Health Care, Stanford Medicine Children's Health, and Stanford Medicine Partners.
Dr. Charles DeBoer is a board-certified, fellowship-trained vitreoretinal surgeon with Stanford Health Care’s Byers Eye Institute and a clinical instructor in the Department of Ophthalmology.
Dr. Fernando Boada is a Professor of Radiology and Associate Chair for Basic Science Translational Research at Stanford University Medical School. He joined Stanford in 2021 after being Professor of Radiology, Psychiatry and Neurosurgery at New York University Medical School and the Director of the Center for Advanced Imaging Innovation and Research. Prior to joining NYU in 2012, Dr. Boada directed the MR Research Center (MRRC) at the University of Pittsburgh for ten years.
Dr. Corinne Beinat completed her PhD in Medicinal Chemistry at the University of Sydney in 2014 focusing on the development of novel small molecule therapeutics for the treatment of neurological disease. She then completed her postdoctoral training with Dr. Sanjiv Sam Gambhir in radiochemistry and molecular imaging before joining the department as an Instructor in 2019 and then as an Assistant Professor in 2022.
Dr. Zerina Kapetanovic is an Assistant Professor in the Department of Electrical Engineering at Stanford University working in the area of low-power wireless communication, sensing, and Internet of Things (IoT) systems. Prior to starting at Stanford, Kapetanovic was a postdoctoral researcher at Microsoft Research in the Networking Research Group and Research for Industry Group.
Dr. David Donoho is a mathematician who has made fundamental contributions to theoretical and computational statistics, as well as to signal processing and harmonic analysis. His algorithms have contributed significantly to our understanding of the maximum entropy principle, of the structure of robust procedures, and of sparse data description.
Dr. Everett Moding is a physician scientist in the Department of Radiation Oncology at Stanford University. Clinically, he focuses on the treatment of patients with sarcomas using radiation therapy, and he is engaged in prospective and retrospective clinical research. He has diverse research expertise in pre-clinical models and next-generation sequencing based approaches to analyze human samples. He has used genetically engineered mouse models to study radiation biology and the contribution of the tumor microenvironment to cancer development and response to therapy.
