Stanford University
Showing 961-970 of 2,485 Results
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Leslie Huang
Sr. Industrial Contracts Officer, Office of Technology Licensing (OTL)
BioLeslie is an Industrial Contracts Officer in Stanford's Office of Technology Licensing.
Prior to joining Stanford, Leslie was a process engineer at Applied Materials and an in-house attorney at various Bay Area technology companies focusing on intellectual property and commercial transactions. She earned a B.A. in History and a B.S. in Materials Science Engineering with an Electronic Materials Specialization from UCLA and a J.D. with a High Tech Law Certificate (Intellectual Property Specialization) from Santa Clara University School of Law. She is admitted to practice law in the State of California. -
Ngan F. Huang
Associate Professor of Cardiothoracic Surgery (Cardiothoracic Surgery Research) and, by courtesy, of Chemical Engineering
Current Research and Scholarly InterestsDr. Huang's laboratory aims to understand the chemical and mechanical interactions between extracellular matrix (ECM) proteins and pluripotent stem cells that regulate vascular and myogenic differentiation. The fundamental insights of cell-matrix interactions are applied towards stem cell-based therapies with respect to improving cell survival and regenerative capacity, as well as engineered vascularized tissues for therapeutic transplantation.
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Possu Huang
Assistant Professor of Bioengineering
Current Research and Scholarly InterestsProtein design: molecular engineering, method development and novel therapeutics
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Ting-Ting Huang
Associate Professor (Research) of Neurology (Adult Neurology), Emerita
Current Research and Scholarly InterestsWe study the role of oxygen free radicals in oxidative tissue damage and degeneration. Our research tools include transgenic and knockout mice and tissue culture cells for in vitro gene expression.
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Andrew D. Huberman
Associate Professor of Neurobiology and, by courtesy, of Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsAndrew Huberman is a tenured associate professor of neurobiology and of ophthalmology at Stanford University School of Medicine, where he directs the Huberman Lab. After earning his B.A. from the University of California, Santa Barbara and completing M.A. and Ph.D. degrees in neuroscience at UC Berkeley and UC Davis, he conducted post-doctoral work at Stanford.
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Adrian Hugenmatter
Director of Protein Engineering
BioDr. Adrian Hugenmatter joined ChEM-H as Director of Protein Engineering in 2021. In his role, Dr. Hugenmatter heads the Protein Engineering Laboratory at the Nucleus and is responsible for the development of therapeutic proteins at the Innovative Medicines Accelerator (IMA). Dr. Hugenmatter obtained his PhD in the laboratory of Prof. Donald Hilvert at the Swiss Federal Institute of Technology in Zurich (ETH Zurich, Switzerland), where he gained initial experience in the fields of enzymology, antibody engineering and directed evolution. Fascinated by protein engineering, he moved to the laboratory of Prof. Dan Tawfik at the Weizmann Institute of Science (Israel), where he studied molecular evolution and its application in protein design. Dr. Hugenmatter then worked for more than a decade as a researcher and team leader at Roche. During this time, he was involved in the development and optimization of several antibody lead candidates for therapeutic applications in neuroscience and oncology.
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John Huguenard
Professor of Neurology and Neurological Sciences (Neurology Research), of Neurosurgery (Adult Neurosurgery) and, by courtesy, of Molecular and Cellular Physiology
Current Research and Scholarly InterestsWe are interested in the neuronal mechanisms that underlie synchronous oscillatory activity in the thalamus, cortex and the massively interconnected thalamocortical system. Such oscillations are related to cognitive processes, normal sleep activities and certain forms of epilepsy. Our approach is an analysis of the discrete components (cells, synapses, microcircuits) that make up thalamic and cortical circuits, and reconstitution of components into in silico computational networks.
