Amir Ali Ahmadi is a Professor at the Department of Operations Research and Financial Engineering at Princeton University and an Associated Faculty member of the Program in Applied and Computational Mathematics, the Department of Computer Science, the Department of Mechanical and Aerospace Engineering, the Department of Electrical Engineering, and the Center for Statistics and Machine Learning. He is also a part-time visiting research scientist at Google Brain (in the Robotics NYC group). Amir Ali received his PhD in EECS from MIT and was a Goldstine Fellow at the IBM Watson Research Center prior to joining Princeton. His research interests are in optimization theory, computational aspects of dynamics and control, and algorithms and complexity. Amir Ali's distinctions include the Sloan Fellowship in Computer Science, the Presidential Early Career Award for Scientists and Engineers (PECASE), the NSF CAREER Award, the AFOSR Young Investigator Award, the DARPA Faculty Award, the Google Faculty Award, the MURI award of the AFOSR, the Howard B. Wentz Junior Faculty Award as well as the Innovation Award of Princeton University, the Goldstine Fellowship of IBM Research, and the Oberwolfach Fellowship of the NSF. His undergraduate course at Princeton (ORF 363, ``Computing and Optimization'') is a three-time recipient of the Teaching Award of the Princeton Engineering Council, as well as a recipient of the Excellence in Teaching of Operations Research Award of the Institute for Industrial and Systems Engineers, and the Phi Beta Kappa Award for Excellence in Undergraduate Teaching at Princeton University. Amir Ali's research has been recognized by a number of best-paper awards, including the INFORMS Optimization Society's Young Researchers Prize, the INFORMS Computing Society Prize (for best series of papers at the interface of operations research and computer science), the Best Conference Paper Award of the IEEE International Conference on Robotics and Automation, and the prize for one of two most outstanding papers published in the SIAM Journal on Control and Optimization in 2013-2015.