Dan Levine is a robotics technologist in the Perception Systems group. He is generally interested in applications of computational statistical methods to challenging problems in robotic perception, inference, and control. Dan is currently a software developer for the Mars 2020 rover Sampling and Caching Subsystem. He is additionally developing perceptual reasoning algorithms to automate MSL rover planning.
PhD Computational Statistics, 2014, MIT
SM Aeronautics & Astronautics, 2010, MIT
SB Aerospace Engineering, 2008, MIT
Embedded software
Statistical inference
Information theory
Perceptual reasoning about natural terrain