Roberto Dailey
AI Research Scientist at Cognizant
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolRoberto Dailey is an AI research scientist with a PhD in Operations Research from UT Austin and 12 years of experience applying statistical and machine learning methods to industrial problems. He has a deep technical track record in time-series modeling and Hidden Markov Models—authoring patented methods for error correction, segmentation, and novel distance metrics—and has translated that research into production-ready solutions in semiconductor virtual metrology, supply-chain forecasting, and predictive maintenance. Currently at Cognizant AI Lab, he focuses on LLM interpretability, uncertainty, and metacognition, bridging classical probabilistic models with modern large-language-model challenges. Roberto also ran ML competitions as CTO of UT’s MLDS club, designing reinforcement-learning and synthetic-data challenges that sharpened his practical systems skills. Based in San Francisco, he combines rigorous analytical modeling with a penchant for creating highly interpretable, business-focused ML solutions.
12 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Operations Research, Doctor of Philosophy - PhD, Operations Research at The University of Texas at AustinGithub contributions (5)
bradleyholloway/TwitterStocks
Aug 2013 - Jul 2014
Contributions:77 commits in 11 months
dailerob/EconSim
Oct 2014 - Nov 2014
Contributions:22 commits in 1 month
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