Alexandre Amice
Alexandre Amice

Final Year PhD Student at MIT CSAIL/LIDS

MIT
I am a final 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.

Experience

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Doctoral Student

MIT

Member of Russ Tedrake’s Robot Locomotion Group and Pablo Parrilo’s Optimization Group.

Open Source Developer

Drake Robotics Toolbox

Contributions to symbolic algebra and mathematical optimization packages.

Research Intern

Robotics and AI Institute

Research in model-based control of highly dynamical systems.

Robotic Perception Intern

Uber Advanced Technology Group

Research and development of radar perception systems.

Education

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PhD Electrical Engineering and Computer Science

MIT

Research in optimization methods for the control and verification of complex dynamical systems.

MS Robotics

University of Pennsylvania

Thesis: Optimal Constraint Relaxation: Theory and Application to Problems in Robotics

BSE Electrical Engineering and Mathematics

University of Pennsylvania

Summa Cum Laude

Research Projects

Structured Optimization

Structured Optimization

How do various structure effect the efficiency of solving optimization problems and structure the solution?