CV

Lead Graduate Robotics Engineering Intern

Medronic

I was assigned to a graduate-level research project sponsored by Medtronic in Spring of 2022. This led to an internal position within their R&D surgical robotics group to lead the project further into funding for production. After demonstrating that the system we designed could work autonomously and would provide practitioners with better ability to treat patients, the project received continued funding. Eventually, after meeting multiple milestones, the project was the first graduate-level project in the history of Medtronic's surgical robotics R&D to go on to receive funding for production.

• Project was the first graduate-based project to be awarded funding to proceed to full production prototype.

PhD

University of Colorado - Boulder

ComputerScience - Robotics

MS

University of Colorado - Boulder

Computer Science - Robotics

• State Estimation, Reinforcement Learning, Advanced Robotics, Deep Learning

BS

Colorado State University

Mechanical Engineering

• Feedback Control Systems
• Mechatronics

2022 Robotics Science and Systems (RSS) Inclusion Fellow

Carnegie Mellon University (CMU)

From the website - "The primary goal of the 2022 Inclusion@RSS is to increase the number of new conference participants from groups traditionally underrepresented in robotics."

Top Senior Engineering Research Showcase Project

Colorado State University

The senior research showcase awarded three peojects to be reconized as a top project. The household fire detection, trsacking, and extinguishing robot I developed won third place.

Design, Implementation, and Evaluation of a Semi-Autonomous, Vision-based, Modular Unmanned Ground Vehicle Prototype

Society for Imaging Science and Technology

This paper presents the development of a prototype modular unmanned ground vehicle (UGV) used for fire detection and elimination. Taking a systems engineering approach, the mechatronics and control systems designs are performed first, then the system and the important subsystems are built and tested, and finally, the evaluation results are fed back for the next prototype iteration.