Alex Gorodetsky

Assistant Professor


3053 François-Xavier Bagnoud Aerospace Building
1320 Beal Avenue Ann Arbor, MI 48109-2140

Primary Website

Computational Autonomy


Alex Gorodetsky is an Assistant Professor of Aerospace Engineering at the University of Michigan. His research interests include using applied mathematics and computational science to enhance autonomous decision making under uncertainty. He is especially interested in controlling systems, like autonomous aircraft, that must act in complex environments that are often represented by expensive computational simulations. Toward this goal, he pursues research in wide-ranging areas including uncertainty quantification, statistical inference, machine learning, numerical analysis, function approximation, control, and optimization.

Prior to coming to the University of Michigan, Alex was the John von Neumann Postdoctoral Research Fellow at Sandia National Laboratories in Albuquerque, New Mexico. At Sandia, Alex worked in the Optimization and Uncertainty Quantification Group on algorithms for propagating uncertainty through physical systems described with computationally expensive simulations.

Alex completed his Ph.D. (2016) and S.M. (2012) in the Department of Aeronautics and Astronautics at the Massachusetts Institute of Technology, where he worked on algorithms for stochastic optimal control and estimation in dynamical systems. He received his B.S.E (2010) in Aerospace Engineering from the University of Michigan.

Assistant Professor, Aerospace Engineering, 2018 to present


  • Ph.D., Aeronautics and Astronautics, Massachusetts Institute of Technology, February 2017
  • S.M., Aeronautics and Astronautics, Massachusetts Institute of Technology, June 2012
  • B.S.E., Aerospace Engineering, University of Michigan, June 2010

Research Interests

Decision making under uncertainty for autonomous systems: Uncertainty quantification, Bayesian inference, statistics, data analysis, machine learning, numerical analysis, tensor methods, stochastic optimal control and optimization

Research areas:

Professional Service

  • Society for Industrial and Applied Mathematics (SIAM)
  • American Institute of Aeronautics and Astronautics (AIAA)
  • Institute of Electrical and Electronics Engineers (IEEE)


  • John von Neumann Postdoctoral Research Fellowship in Computational Science, 2016
  • Air Force Office of Scientific Research Young Investigator Program, 2018

Related News Stories

Alex Gorodetsky Wins NSF CAREER Award

Aerospace Assistant Professor receives prestigious award to support early-career faculty

Graphic of a water droplet disintegrating when hit by a shock wave.

U-M Faculty Receive Award to build AI-driven Scientific Computing Resource

Congratulations to Venkat Raman, Alex Gorodetsky and Aaron Towne for receiving the DURIP award

x3 thruster

Testing advanced space engines here on Earth

U-M is a member of a new $15M institute to improve physics-based modeling of advanced thrusters for human space exploration.

Michigan on team selected for $15M NASA institute to investigate testing of advanced propulsion concepts

The NASA Space Technology Mission Directorate has selected the Joint Advanced Propulsion Institute (JANUS) to explore high power electric propulsion systems for human exploration. Michigan Aerospace alumnus Mitchell Walker of the Georgia Institute of Technology will be the principal investigator and director. U-M Assistant Professor Benjamin Jorns will serve as co-director.

Aerospace Engineering Assistant Professor Alex Gorodetsky awarded AFOSR Young Investigator Program grant for computational algorithms for autonomous systems

Congratulations to Aerospace Assistant Professor Gorodetsky, who has been awarded a three-year contract to develop computational frameworks for smart autonomous aerial systems