School of Engineering
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Mykel Kochenderfer
Associate Professor of Aeronautics and Astronautics and, 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.
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Erik Kolderup
Adjunct Lecturer, Civil and Environmental Engineering
BioErik Kolderup is a consulting engineer focusing on building energy efficiency. He served as Vice President of Eley Associates and Associate Principal at Architectural Energy Corporation in San Francisco, before starting Kolderup Consulting in 2007. He holds degrees in electrical engineering (BS 1985, MS 1986) and industrial engineering (MS 1990) from Stanford and is an ASHRAE-certified Building Energy Modeling Professional.
Please see also www.kolderupconsulting.com. -
Julie Kolesar
Research Engineer
BioJulie Kolesar is a Research Engineer in the Human Performance Lab, supporting teaching and interdisciplinary research at the crossroads of engineering, sports medicine, and athletics. Her work aims to understand the underlying mechanisms relating biomechanical changes with function and quality of life for individuals with musculoskeletal disorders and injuries. As part of the Wu Tsai Human Performance Alliance, Dr. Kolesar engages in collaborations which seek to optimize human health and performance across the lifespan. Her expertise and research interests include experimental gait analysis, musculoskeletal modeling and simulation, and clinical interventions and rehabilitation.
