David M. Rosen is an Assistant Professor in the Departments of Electrical & Computer Engineering and Mathematics and the Khoury College of Computer Sciences (by courtesy) at Northeastern University, where he leads the Robust Autonomy Laboratory (NEURAL).

He is broadly interested in the mathematical and algorithmic foundations of trustworthy autonomy. His research applies analytical and computational tools from nonlinear optimization, differential geometry and topology, abstract algebra, and probability and statistics to devise principled, computationally efficient, and provably robust algorithms for machine learning, perception, and control.

A major focus of his research is the design of practical estimation and control algorithms for high-dimensional nonlinear systems that provide explicit performance guarantees in real-world operation. To that end, much of his recent work has explored the use of convex relaxation as a general strategy for recovering provably-good approximate solutions to hard computational problems in artificial intelligence.

His work has been recognized with several awards at leading international venues, including a Best Paper Award at the International Workshop on the Algorithmic Foundations of Robotics (2016), selection as an RSS Pioneer (2019), a Best Student Paper Award at Robotics: Science and Systems (2020), and an Honorable Mention for the IEEE Transactions on Robotics King-Sun Fu Memorial Best Paper Award (2021).

He holds the degrees of B.S. in Mathematics from the California Institute of Technology (2008), M.A. in Mathematics from the University of Texas at Austin (2010), and ScD in Computer Science from the Massachusetts Institute of Technology (2016). Prior to joining Northeastern, he was a Research Scientist at Oculus Research (now Meta Reality Labs) from 2016 to 2018, and a Postdoctoral Associate at MIT’s Laboratory for Information and Decision Systems (LIDS) from 2018 to 2021.