Vice Provost and Dean of Research
Showing 631-640 of 2,458 Results
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Katherine Ferrara
Professor of Radiology (Molecular Imaging Program at Stanford)
Current Research and Scholarly InterestsMy focus is image-guided drug and gene delivery and I am engaged in the design of imaging devices, molecularly-targeted imaging probes and engineered delivery vehicles, drawing upon my education in biology and imaging physics and more than 20 years of experience with the synthesis and labeling of therapeutic particles. My laboratory has unique resources for and substantial experience in synthetic chemistry and ultrasound, CT, MR and PET imaging.
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James Ferrell
Professor of Chemical and Systems Biology and of Biochemistry
Current Research and Scholarly InterestsMy lab has two main goals: to understand the regulation of mitosis and to understand the systems-level logic of simple signaling circuits. We often make use of Xenopus laevis oocytes, eggs, and cell-free extracts for both sorts of study. We also carry out single-cell fluorescence imaging studies on mammalian cell lines. Our experimental work is complemented by computational and theoretical studies aimed at understanding the design principles and recurring themes of regulatory circuits.
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Thomas Fingar
Lecturer
Current Research and Scholarly InterestsChinese domestic and foreign policy, US-China relations, US foreign policy, intelligence analysis, mega-trends and global challenges, geopolitical consequences of climate change
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Chelsea Finn
Assistant Professor of Computer Science and of Electrical Engineering
BioChelsea Finn is an Assistant Professor in Computer Science and Electrical Engineering at Stanford University, and the William George and Ida Mary Hoover Faculty Fellow. Professor Finn's research interests lie in the ability to enable robots and other agents to develop broadly intelligent behavior through learning and interaction. Her work lies at the intersection of machine learning and robotic control, including topics such as end-to-end learning of visual perception and robotic manipulation skills, deep reinforcement learning of general skills from autonomously collected data, and meta-learning algorithms that can enable fast learning of new concepts and behaviors. Professor Finn received her Bachelors degree in Electrical Engineering and Computer Science at MIT and her PhD in Computer Science at UC Berkeley. Her research has been recognized through the ACM doctoral dissertation award, the Presidential Early Career Award for Scientists and Engineers, and the MIT Technology Review 35 under 35 list, and her work has been covered by various media outlets, including the New York Times, Wired, and Bloomberg. Throughout her career, she has sought to increase the representation of underrepresented minorities within CS and AI by developing an AI outreach camp at Berkeley for underprivileged high school students, a mentoring program for underrepresented undergraduates across three universities, and leading efforts within the WiML and Berkeley WiCSE communities of women researchers.
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David Fiorentino, MD, PhD
Professor of Dermatology
Current Research and Scholarly InterestsFrom a clinical standpoint, I am particularly focused in the care of patients with myositis or systemic sclerosis. We offer clinical trials, including novel, cutting-edge cellular-based (e.g. chimeric antigen receptor, or, CAR T) therapies for these diseases. We are particularly interested in understanding the role of auto antigens in providing windows into disease pathogenesis, as well as their potential direct role of autoantibodies in causing disease.
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Andrew Fire
George D. Smith Professor of Molecular and Genetic Medicine and Professor of Pathology and of Genetics
Current Research and Scholarly InterestsWhile chromosomal inheritance provides cells with one means for keeping and transmitting genetic information, numerous other mechanisms have (and remain to be) discovered. We study novel cellular mechanisms that enforce genetic constancy and permit genetic change. Underlying our studies are questions of the diversity of inheritance mechanisms, how cells distinguish such mechanisms as "wanted" versus "unwanted", and of the consequences and applications of such mechanisms in health and disease.
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Kamyar (Kam) Firouzi
Affiliate, Ginzton, E.L. Laboratory
BioDr. Kamyar (Kam) Firouzi’s work centers on developing next-generation neural interfaces that unite decoding, modeling, and modulation of brain activity. His research integrates focused ultrasound (FUS) neuromodulation, blood–brain-barrier (BBB) opening, and microchip-based sensing (CMUT/ASIC) with AI-driven neural decoding and generative modeling to build adaptive communication systems between the brain and machines. At Stanford, he focuses on translating cutting-edge neurotechnology research into clinical and commercial applications, advancing experimental platforms into scalable systems for cognitive restoration, neurorehabilitation, and human–computer symbiosis.
Dr. Firouzi co-founded and led Althea, a pioneering agentic AI company that redefined human–computer interaction in healthcare. Althea developed proprietary multimodal language models and voice-based agentic systems that enable computers to reason, speak, and act, augmenting clinical teams and patient engagement. Through Althea, he demonstrated how agentic AI can serve as a powerful layer of human–AI interface, extending intelligence and decision support across complex healthcare systems. Earlier in his career, Dr. Firouzi co-founded Liminal Sciences, a neurotechnology company that introduced acousto-encephalography (AEG), the first noninvasive method for real-time monitoring of cerebral blood flow and pressure, later merged with Hyperfine (NASDAQ: HYPR).
Across his academic and entrepreneurial work, Dr. Firouzi continues to explore how neural decoding, AI architectures, and high-performance computing can be unified to advance precision neuromodulation, brain–AI interfaces, and the next era of intelligent human augmentation. -
Michael Fischbach
Liu (Liao) Family Professor
Current Research and Scholarly InterestsThe microbiome carries out extraordinary feats of biology: it produces hundreds of molecules, many of which impact host physiology; modulates immune function potently and specifically; self-organizes biogeographically; and exhibits profound stability in the face of perturbations. Our lab studies the mechanisms of microbiome-host interactions. Our approach is based on two technologies we recently developed: a complex (119-member) defined gut community that serves as an analytically manageable but biologically relevant system for experimentation, and new genetic systems for common species from the microbiome. Using these systems, we investigate mechanisms at the community level and the strain level.
1) Community-level mechanisms. A typical gut microbiome consists of 200-250 bacterial species that span >6 orders of magnitude in relative abundance. As a system, these bacteria carry out extraordinary feats of metabolite consumption and production, elicit a variety of specific immune cell populations, self-organize geographically and metabolically, and exhibit profound resilience against a wide range of perturbations. Yet remarkably little is known about how the community functions as a system. We are exploring this by asking two broad questions: How do groups of organisms work together to influence immune function? What are the mechanisms that govern metabolism and ecology at the 100+ strain scale? Our goal is to learn rules that will enable us to design communities that solve specific therapeutic problems.
2) Strain-level mechanisms. Even though gut and skin colonists live in communities, individual strains can have an extraordinary impact on host biology. We focus on two broad (and partially overlapping) categories:
Immune modulation: Can we redirect colonist-specific T cells against an antigen of interest by expressing it on the surface of a bacterium? How do skin colonists induce high levels of Staphylococcus-specific antibodies in mice and humans?
Abundant microbiome-derived molecules: By constructing single-strain/single-gene knockouts in a complex defined community, we will ask: What are the effects of bacterially produced molecules on host metabolism and immunology? Can the molecular output of low-abundance organisms impact host physiology?
3) Cell and gene therapy. We have begun two new efforts in mammalian cell and gene therapies. First, we are developing methods that enable cell-type specific delivery of genome editing payloads in vivo. We are especially interested in delivery vehicles that are customizable and easy to manufacture. Second, we have begun a comprehensive genome mining effort with an emphasis on understudied or entirely novel enzyme systems with utility in mammalian genome editing. -
Martin Fischer
Kumagai Professor in the School of Engineering and Senior Fellow at the Precourt Institute for Energy
BioProfessor Fischer's research goals are to improve the productivity of project teams involved in designing, building, and operating facilities and to enhance the sustainability of the built environment. His work develops the theoretical foundations and applications for virtual design and construction (VDC). VDC methods support the design of a facility and its delivery process and help reduce the costs and maximize the value over its lifecycle. His research has been used by many small and large industrial government organizations around the world.
