Stanford University
Showing 1,341-1,350 of 1,978 Results
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Bruce Koch, Ph.D.
Director of High-Throughput Screening
Current Role at StanfordDirector, ChEM-H/CSB High Throughput Screening Group
Staff Lead, IMA HTS Module
Adviser to the SPARK Program -
Maximilian Koch
Postdoctoral Scholar, Stanford Cancer Institute
Current Research and Scholarly InterestsMy current research focuses on developing novel cellular immunotherapies for pediatric cancers. This includes identifying suitable MHC-restricted and native antigens that are expressed by malignant cells but ideally absent from healthy tissues. On the receptor side, both CARs and TCRs are being characterized for their specificity, affinity, and functionality. Ultimately, non-viral gene delivery methods will be explored and optimized to enable affordable, precise, and consistent cell products.
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Justin Kochanski
Affiliate, Department Funds
Fellow in Pediatrics - CardiologyBioI'm passionate about delivering high quality, equitable care to patients with congenital heart disease.
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Mykel Kochenderfer
Associate Professor of Aeronautics and Astronautics, Senior Fellow at the Stanford Institute for Human-Centered AI and Associate Professor, by courtesy, of Computer Science
BioMykel Kochenderfer is Associate Professor of Aeronautics and Astronautics at Stanford University. Prior to joining the faculty, he was at MIT Lincoln Laboratory where he worked on airspace modeling and aircraft collision avoidance, with his early work leading to the establishment of the ACAS X program. He received a Ph.D. from the University of Edinburgh and B.S. and M.S. degrees in computer science from Stanford University. Prof. Kochenderfer is the director of the Stanford Intelligent Systems Laboratory (SISL), conducting research on advanced algorithms and analytical methods for the design of robust decision making systems. Of particular interest are systems for air traffic control, unmanned aircraft, and other aerospace applications where decisions must be made in uncertain, dynamic environments while maintaining safety and efficiency. Research at SISL focuses on efficient computational methods for deriving optimal decision strategies from high-dimensional, probabilistic problem representations. He is an author of "Decision Making under Uncertainty: Theory and Application" (2015), "Algorithms for Optimization" (2019), and "Algorithms for Decision Making" (2022), all from MIT Press. He is a third generation pilot.
