David M. Rosen is an Assistant Professor in the Departments of Electrical and Computer Engineering and Mathematics, and the Khoury College of Computer Sciences (by courtesy). 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.

He is broadly interested in the mathematical and algorithmic foundations of trustworthy autonomy. His research applies 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 perception and control. Much of his recent work has explored the use of principled approximation schemes (such as convex relaxation) to efficiently compute provably-good solutions of challenging machine perception problems (such as SLAM).

His work has been recognized with multiple awards at flagship international venues, including the inaugural 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).