Alexandre Amice
Research In Applied Optimization
MIT
I am a fourth year PhD student in MIT’s EECS Department advised by Professor Pablo Parrilo and Professor Russ Tedrake. I am broadly interested in optimal and efficient decision making, especially for large scale or complex dynamical systems. I am particularly interested in exploiting polynomial and graph structure to obtain tractable algorithms for problems in control theory and certification. In addition to my research, I am an active contributor to Drake, an open-source simulator for model-based design and control of robots.
Research Projects
Formally verifying the safety of complicated trajectories at scale.
Provable correct descriptions of Configuration Space for collision-free motion planning
How do various structure effect the efficiency of solving optimization problems and structure the solution?
Resiliency of control systems and learning algorithms via counter-factual optimization
Guaranteed performance of heuristic strategies for a known, hard problem.
Experience
Doctoral Student
MIT
Research in optimization methods for the control and verification of complex dynamical. systems.
Open Source Developer
Contributions to symbolic algebra and mathematical optimization packages.
Research Intern
Boston Dynamics AI Institute
Research in model-based control of highly dynamical systems.
Masters and Undergraduate Researcher
University of Pennsylvania
Research in discrete and convex optimization for resilient control systems.
Robotic Perception Intern
Uber Advanced Technology Group
Research and development of radar perception systems.
