Kaleigh Clary is a Lead AI Engineer and PhD candidate in causality at UMass Amherst with a decade of experience building resilient ML systems for sequential decision-making and anomaly detection. Her research and engineering work blends mechanistic, causal modeling with practical deployment—helping agents detect environmental novelty, pinpoint root causes of failures, and adapt with few-shot data. She has led DARPA-funded projects that produced high-accuracy temporal anomaly detectors and packaged decision-making agents to external APIs, and transitioned those research results into industry roles including AI engineering at Fortanix and MassMutual. Kaleigh’s unusual combination of theoretical causal inference and hands-on systems engineering enables robust performance in real-world, open-world environments.
10 years of coding experience
11 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Massachusetts Amherst
Bachelor of Arts - BA Computer Science Mathematics, Bachelor of Arts - BA Computer Science Mathematics at Hendrix College
Contributions:40 pushes, 2 branches in 4 years 7 months
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