Daniel Bryce
Fellow at SIFT (Smart Information Flow Technologies)
Dallas-Fort Worth Metroplex United States
Summary
👤
Senior🎓
Top SchoolDaniel Bryce is an AI and machine learning researcher with over 20 years of experience designing intelligent systems across robotics, cybersecurity, supply chain logistics, and synthetic biology. As a Fellow at SIFT he leads interdisciplinary teams to translate cutting-edge research in automated planning, formal methods, and ML into practical industry and government applications. He has a strong record of securing and managing competitive grants and contracts from NSF, NASA, ARL, OSD, and DARPA, and has published influential work on heuristic search and planning under uncertainty. His career bridges academia and industry—tenure-track faculty experience, journal editorial leadership, and senior research roles at SRI and Honeywell underpin a deep technical and programmatic skill set. Colleagues value his mentorship and ability to move projects from theoretical advances to operational tools that address real-world complexity. Based in the Dallas–Fort Worth area, he combines rigorous PhD-level research with pragmatic systems-building expertise.
15 years of coding experience
20 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at Arizona State University
Github Skills (43)
semantics9
owl9
rdf8
solver8
semantic-web8
linked-data8
gcc8
sparql8
clang-tidy8
kernel-methods8
ontologies7
nonlinear7
cytoscapejs7
ontology6
smt5
Programming languages (7)
Github contributions (5)
Bioprotocols/labop-check
May 2021 - Jan 2023
Contributions:1 release, 15 PRs, 42 pushes in 1 year 7 months
ml4ai/funman
Sep 2022 - Oct 2023
SKEMA Functional Model Analysis (FUNMAN)
Contributions:5 releases, 8 reviews, 49 PRs in 1 year 1 month
kernel-methodsmachine-learningmodel-analysis
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