Lead Machine Learning Researcher & Engineer at Booz Allen Hamilton
Washington, District of Columbia, United States
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Summary
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Senior
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Ancil Crayton is a Lead Machine Learning Researcher & Engineer with eight years of experience applying state-of-the-art NLP and computer vision methods to real-world problems at Booz Allen Hamilton. A PhD candidate in economics at University College Dublin, he combines rigorous causal and macroeconomic analysis with practical ML engineering to evaluate policy impacts and build deployable solutions. His background spans academic research (including a visiting stint at Oxford), Data Science for Social Good work in Chile, and leadership roles delivering ML products and research across government and industry. Trained in both computer science and financial economics, he blends quantitative modeling, production ML, and domain expertise to bridge research and operational impact. Outside of work he is an active clarinetist and world traveler, a profile that hints at disciplined creativity and cross-cultural adaptability.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at The University of Texas at Austin
Master of Science - MS, Financial Economics, Master of Science - MS, Financial Economics at The University of Glasgow
Bachelor of Music (B.M.), Clarinet Performance, Bachelor of Music (B.M.), Clarinet Performance at Christopher Newport University
Doctor of Philosophy (PhD), Economics, Doctor of Philosophy (PhD), Economics at University College Dublin
DSSG Solve collaboration with the International Water Management Institute
Contributions:56 commits, 1 PR, 1 push in 4 months
solvecollaborationdssgwater-managementinstitute
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Ancil Crayton - Lead Machine Learning Researcher & Engineer at Booz Allen Hamilton