EpiSci, an Applied Intuition Company, Principal Engineer (2022–Present)
Lead production-grade development in multi-agent autonomous systems across DARPA, USAF, ARL, and US Army programs. Architected Axle 4, a full hardware-software onboard compute platform for autonomous drone operations, delivered from concept to production in under six months. Secured $3M+ in SBIR funding including a Phase III award, the highest tier reserved for transition to fielded systems. Manage a team of 10 engineers across multi-agent collaborative autonomy, model-based reinforcement learning, and Bayesian state estimation.
Autonomous Vehicles Lab, University of Florida, Principal Investigator (2017–2022)
Directed a $6M AFRL-funded research program in multi-agent autonomy for contested environments. Grew lab funding by $500K+ annually across ARL, USAFA, and NSF. Mentored 40+ graduate and undergraduate students and 20+ Air Force Academy cadets. Invited to present at IFAC Agricontrol, AFRL Summer Faculty Seminar Series, ION PLANS, and IEEE NAECON.
Research and Publications
Author and co-author on 20+ peer-reviewed publications (447 citations, h-index 9) in top aerospace and robotics venues, including the AIAA Journal of Guidance, Control and Dynamics, IEEE Robotics and Automation Letters, IEEE IROS, and IEEE Control Systems Letters, covering target tracking, Bayesian state estimation, multi-agent coordination, GPS-denied autonomy, and pose-graph optimization. Google Scholar
Bio-Inspired Perception and Robotics Lab, University of Colorado Boulder
Developed bio-inspired sensing approaches for fast and robust control of aerial robots, with a focus on disturbance rejection. Built bio-inspired vision pipelines for onboard perception and autonomous flight.