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Thomas Dalton
Lead Machine Learning Engineer - MS Student at UT Austin
Thomas Dalton is a skilled professional with a background in Mathematics, Probability, Statistics, and Data Science.
He holds a Bachelor of Science in Mathematics from the University of California, San Diego, and a Master of Science in Statistics and Data Science from The University of Texas at Austin.
Currently, Thomas serves as the Lead Machine Learning Engineer at Webroot, where he applies the latest machine learning research to real-world industry applications.
Prior to this role, he gained experience as a Software Engineer at CyberFlow Analytics and as a Residential Network Technician at Academic Computing and Media Services at UC San Diego.
With a strong passion for merging academic research with practical industry solutions, Thomas Dalton is a valuable asset in the field of machine learning.