PNNL

Luke Richards joined Pacific Northwest National Laboratory (PNNL) in 2022 in the National Security Directorate. He is a principal investigator on projects focusing on assured artificial Intelligence efforts in machine learning (ML) safety, security, and usability. He is passionate about assuring safe, secure, and equitable systems are being deployed to serve users and missions. 

While working full-time, he is a PhD candidate at the University of Maryland, Baltimore County (UMBC) in computer science studying machine learning with an expected graduation date of 2024. Prior to PNNL, he worked in government supporting research and application efforts in ML in domains like radio frequency analysis and malware analysis. He holds a BS and MS in computer science from UMBC. 

• Computer Vision
• Databases
• Deep Learning
• Human-robot Interaction
• Machine Learning
• Malware Analysis
• Multi-objective Optimization
• Natural Language Processing

• MS in computer science, University of Maryland-Baltimore County
• BS in computer science, University of Maryland-Baltimore County

2023

• Richards L.E., E. Raff, and C. Matuszek. 2023. "Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition." In Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security co-located with the 30th ACM Conference on Computer and Communications Security, November 30, 2023, Copenhagen, Denmark. New York, New York:Association for Computing Machinery. PNNL-SA-191638.
• Richards L.E. 10/23/2023. "The Intersection of User Fairness & Security in Machine Learning?." Presented by L.E. Richards at 2023 ErgoX Symposium, Washington, Dc, District Of Columbia. PNNL-SA-191596.