Education/Experience

Experience

2020-2022
San Diego Padres

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.

2017-2019
Cohrint

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.

2016-2017
Discovery Learning Apprenticeship

Undergraduate Researcher

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

2015-2017
Cohrint

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.

Collaborative human-autonomy semantic sensing through structured POMDP planning

Collaborative human-autonomy semantic sensing through structured POMDP planning

Publications
Fully Bayesian Human-Machine Data Fusion for Robust Dynamic Target Surveillance and Characterization

Fully Bayesian Human-Machine Data Fusion for Robust Dynamic Target Surveillance and Characterization

Publications
Closed-Loop Bayesian Semantic Data Fusion for Collaborative Human-Autonomy Target Search

Closed-Loop Bayesian Semantic Data Fusion for Collaborative Human-Autonomy Target Search

Publications

Education

2019
University of Colorado Boulder

MS Aerospace Engineering

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

3.93 GPA

2017
University of Colorado Boulder

BS Aerospace Engineering

Subject Areas

  • Linear Controls
  • Estimation
  • Computer Vision
  • Bayesian Methods
  • Motion Planning
  • Aero/Fluid Dynamics
  • Thermodynamics
  • Propulsion
  • Statistics
  • Orbital Dynamics
  • Aircraft Dynamics
  • Planetary Science
  • FEM (Finite Element Methods)
  • Material Science
  • Electronics
  • Linear Algebra
  • Differential Equations
  • Calculus
  • Physics
  • Fourier Transforms
  • RF Communication
  • Boolean Logic
  • LTL Specification
  • Technical Drawing