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Lieutenant Luke Kenworthy


Department of Computer & Cyber Sciences

Lt Kenworthy
Contact Information

(719) 333-3590




Lieutenant Luke Kenworthy graduated from Harvard in 2021, where he received his bachelor's and master's degrees in Computer Science. He currently serves as an Instructor of Computer Science at the United States Air Force Academy in Colorado Springs. His previous teaching experience consists of working as a teaching assistant for three different computer science and data science classes at Harvard University.

Previously, Lieutenant Kenworthy served as the lead operational test analyst over a $33 billion portfolio of space systems in the 4th Test and Evaluation Squadron at Peterson Space Force Base.

Lieutenant Kenworthy has a background in artificial intelligence research, having spent two summers as a research intern at the Department of the Air Force Massachusetts Institute of Technology Artificial Intelligence Accelerator before starting active duty. He returned while on active duty to complete a four-month fellowship. There, he worked on machine learning projects related to flight scheduling, pilot fatigue recognition, and satellite maneuver detection.

Outside of work, Lieutenant Kenworthy volunteers on the leadership team for the Catholic Diocese of Colorado Springs Young Adult Ministry, where he coordinates homeless outreach opportunities. He also enjoys reading, research, running, lifting, and hanging out with his friends.


Master's of Science, Computer Science, Harvard University, Cambridge, Massachusetts (2021)

Bachelor's of Arts, Computer Science, Harvard University, Cambridge, Massachusetts (2021)

Professional Experience

Instructor of Computer and Cyber Sciences, Department of Computer and Cyber Sciences, Colorado Springs, Colorado (2023 – Present)

Teaching Assistant, Harvard University (2020 – Present)

Test Analyst, 4th Test and Evaluation Squadron, Space Training and Readiness Command, Colorado Springs, Colorado (2021-2023)

Research Fellow, Department of the Air Force – Massachusetts Institute of Technology AI Accelerator (2022)

Honors & Awards
Military Decorations

Air and Space Achievement Medal, One Oak Leaf Cluster


Distinguished Graduate, Air Force ROTC Detachment 365, 2021

Department of the Air Force Junior Officer Analyst of the Year, Runner Up, 2022

Best Project, BRAVO Zero Hackathon, 2022

Space Training and Readiness Command Annual Analytic Excellence Award, 2022

Certificate of Distinction in Teaching, Harvard University, 2021

Best Electronic Warfare Project, BRAVO 10 Hackathon, 2023

Research and Scholarly Interests

Machine Learning

Constraint Programming




Reinforcement Learning

Graph Neural Networks

Combinatorial Optimization

Operations Research

Autonomous Systems


L. Kenworthy, S. Nayak, C. Chin, and H. Balakrishnan, “NICE: Robust Scheduling Through Reinforcement Learning-Guided Integer Programming,” in Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, Jun. 2022, pp. 9821–9829. doi: 10.1609/aaai.v36i9.21218.

L. Kenworthy, P. Moore, H. M. Rao, L. J. Brattain, K. James, and T. Heldt, “Fatigue Assessment From Facial Videos Using Deep Neural Networks and Engineered Features Informed by Domain Knowledge,” in 2023 45th Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC), 2023, pp. 1–5. doi: 10.1109/EMBC40787.2023.10340266.