I am Alex Gorodetsky, a John von Neumann Fellow at Sandia National Laboratory in Albuquerque, NM. I work on algorithms for decision making under uncertainty to enable autonomous systems. These algorithms span the areas of uncertainty quantification, Bayesian inference and state estimation, data analysis and machine learning, control and optimization, and numerical analysis. I am particularly interested in integrating computationally expensive physical models into systems that require fast or even real-time decision making.

In 2016, I earned my Ph.D. at the Massachusetts Institute of Technology working with Professors Sertac Karaman and Youssef Marzouk. I received my B.S.E in Aerospace Engineering from the University of Michigan in 2010.




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