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 ApprenticeshipUndergraduate Researcher
Development and integration of audio localization and perception in autonomous systems using Bayesian updates and Gaussian Belief Propagation.
2015-2017
CohrintUndergraduate 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
PublicationsFully Bayesian Human-Machine Data Fusion for Robust Dynamic Target Surveillance and Characterization
PublicationsClosed-Loop Bayesian Semantic Data Fusion for Collaborative Human-Autonomy Target Search
PublicationsEducation
2019
University of Colorado BoulderMS Aerospace Engineering
Masters in Controls and Estimation in Human-Robot Systems using Bayesian Methods.
3.93 GPA
2017
University of Colorado BoulderBS 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