Summary
Christopher Glasz is an AI research leader and Integration & Ops Manager at MITRE with 11 years of experience applying machine learning to responsible generative AI, synthetic media, and IT modernization. He leads and mentors a team focused on LLM code modernization, DeepFake generation/detection/mitigation, multilingual speech, and counter-disinformation efforts while also managing staffing and operational priorities. Christopher holds an MS in Computer Science from McGill (thesis on hybrid recommendation for low-engagement users) and graduated Summa Cum Laude in CS and Math from the University of Rhode Island. His background spans hands-on ML engineering, synthetic data and NLP research, and practical systems work dating back to systems administration and VR research. Colleagues rely on him to translate cutting-edge research into accountable, deployable capabilities for government-scale problems. He combines deep academic rigor with pragmatic engineering—often surfacing policy and operational considerations early in technical designs.
11 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at University of Rhode Island
Master’s Degree Computer Science, Master’s Degree Computer Science at McGill University