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Peter Fontana (Fed)

Computer Scientist

Peter C. Fontana, Ph.D. is a Computer Scientist in the AI Technologies Group within ITL. In ITL, he currently leads the NIST Generative AI Code Challenge and is a technical contributor in the NIST Generative AI Program. Past projects include serving as a technical contributor to the NIST efforts in the DARPA Knowledge-directed AI Reasoning Over Schemas (KAIROS) program and the NIST Data Science Evaluation Series. Peter holds a Doctor of Philosophy and a Master of Science in Computer Science from the University of Maryland at College Park, whose dissertation research was in model checking (formal methods). He holds a Bachelor of Science and Engineering in Computer Science Engineering from the University of Pennsylvania.

Publications

2025 NIST GenAI (Pilot): Code Challenge Evaluation Plan

Author(s)
Peter Fontana, Yooyoung Lee, Hariharan Iyer, Sonika Sharma
We are launching a pilot for measuring and evaluating unit tests generated by Artificial Intelligence (AI) for testing elementary python code. This pilot will...

2025 NIST GenAI (Pilot) Evaluation Plan for Image Generators

Author(s)
George Awad, Hariharan Iyer, Seungmin Seo, Peter Fontana, Yooyoung Lee
In this NIST Generative AI (GenAI) program, we invite and encourage participating teams from academia, industry, and other research labs to support research in...

2025 NIST GenAI (Pilot) Evaluation Plan for Image Discriminators

Author(s)
George Awad, Hariharan Iyer, Seungmin Seo, Peter Fontana, Yooyoung Lee
In this NIST Generative AI (GenAI) program, we invite and encourage participating teams from academia, industry, and other research labs to support research in...

Data and Software Publications

NIST GenAI Code Pilot Evaluation: Scoring Software

Author(s)
Sonika Sharma, Peter Fontana
NIST Generative AI (GenAI) is a new evaluation program administered by the NIST Information Technology Laboratory to assess generative AI technologies developed by the research community from around
Created May 16, 2019, Updated September 11, 2026
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