Jeremy Muesing

Senior Analyst, Baseball Research and Development

Corrected pitch tracking system calibration using navigational filtering. Predicted individual match-up outcomes using hierarchical Bayesian data fusion and Gaussian Processes. Created new metrics including evaluation of swing decisions using maximum expected utility. Conducted aerodynamics research on ball flight mechanics to identify and quantify asymmetrical boundary layer separation.

Graduate Researcher

Thesis work on Fully Bayesian Human-Machine Data Fusion for Robust Dynamic Target Surveillance and Characterization. Assisted in building framework for human operators to classify targets with assistance of machine learning. Made fusion engine able to do individual operator characterization online and allow autonomy to intelligently ask operator for help.

Undergraduate Researcher

Development and integration of audio localization and perception in autonomous systems using Bayesian updates and Gaussian Belief Propagation.

Undergraduate Research Assistant

Manufactured test bed turtlebots involving custom laser cut plates, custom PCBs to power the on board kinects, and installing Odriod U3’s to allow extensive onboard computing. Built real world test environment. Implemented and integrated interfaces across all robots. Code development using primarily Python and ROS. AR tag identification. Coding and implementation of vocal commands to control robots. Data collection and value of information processing.

MS Aerospace Engineering

Masters in Controls and Estimation in Human-Robot Systems using Bayesian Methods.

3.93 GPA

BS Aerospace Engineering