Vice Provost and Dean of Research
Showing 601-610 of 2,458 Results
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Ryann Fame, PhD
Assistant Professor of Neurosurgery
Current Research and Scholarly InterestsEarly neural progenitors respond to extrinsic cues that maintain and support their potency. These stem/ progenitor cells are in direct contact with the cerebrospinal fluid (CSF), which acts as part of their niche. Our research program encompasses the early neural stem cell niche, neural tube closure, CSF, metabolism, and cortical neuronal development. We are dedicated to broad collaboration focused on translating an understanding of neurodevelopment and CSF biology into regenerative strategies.
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Alice C. Fan
Associate Professor of Medicine (Oncology) and, by courtesy, of Urology
Current Research and Scholarly InterestsDr. Fan is a physician scientist who studies how turning off oncogenes (cancer genes) can cause tumor regression in preclinical and clinical translational studies. Based on her findings, she has initiated clinical trials studying how targeted therapies affect cancer signals in kidney cancer and low grade lymphoma. In the laboratory, she uses new nanotechnology strategies for tumor diagnosis and treatment to define biomarkers for personalized therapy.
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Jonathan Fan
Associate Professor of Electrical Engineering
Current Research and Scholarly InterestsOptical engineering plays a major role in imaging, communications, energy harvesting, and quantum technologies. We are exploring the next frontier of optical engineering on three fronts. The first is new materials development in the growth of crystalline plasmonic materials and assembly of nanomaterials. The second is novel methods for nanofabrication. The third is new inverse design concepts based on optimization and machine learning.
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Judith Ellen Fan
Assistant Professor of Psychology, by courtesy, of Education and of Computer Science
BioI direct the Cognitive Tools Lab (https://cogtoolslab.github.io/) at Stanford University. Our lab aims to reverse engineer the human cognitive toolkit — in particular, how people use physical representations of thought to learn, communicate, and solve problems. Towards this end, we use a combination of approaches from cognitive science, computational neuroscience, and artificial intelligence.
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Richard E. Fan
Clinical Associate Professor, Urology
BioRichard E. Fan, Ph.D., is an engineer embedded in the Department of Urology in the Stanford School of Medicine.
Dr. Fan’s research relates to the development of clinically driven biomedical instrumentation and medical devices. He is interested in translational application of emerging technologies in the medical and surgical spaces, as well as the development of platforms to explore clinical and pre-clinical evaluation. His primary work is currently focused on image guided detection and treatment of prostate cancer, including MR-US fusion, focal therapies, embedded systems and robotics. -
Shanhui Fan
Joseph and Hon Mai Goodman Professor of the School of Engineering, Senior Fellow at the Precourt Institute for Energy and Professor, by courtesy, of Applied Physics
BioFan's research interests are in fundamental studies of nanophotonic structures, especially photonic crystals and meta-materials, and applications of these structures in energy and information technology applications
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Rongxin Fang
Assistant Professor of Neurosurgery and, by courtesy, of Genetics
BioRongxin Fang received his Ph.D. in Bioinformatics and Systems Biology from the University of California, San Diego, under the mentorship of Bing Ren (2015–2019). During his doctoral training, he developed high-throughput genomic technologies and computational tools to map the structure and activity of the mammalian genome at large scale and single-cell resolution. He then applied these approaches to investigate how cis-regulatory elements - such as enhancers - control gene expression and drive the diverse transcriptional programs underlying cellular diversity in the mammalian brain. As an HHMI–Damon Runyon Postdoctoral Fellow at Harvard University (2019–2024), he worked with Xiaowei Zhuang. Rongxin developed and applied genome-scale, volumetric 3D transcriptome imaging methods to map the molecular and cellular architecture of the mammalian brain across evolution and aging. He also contributed to the collaboration with Adam Cohen and Catherine Dulac to integrate transcriptome imaging with functional neuronal imaging, identifying neuronal populations in the animal brain that underlie specific brain functions.
