Thomas Dalton

Thomas Dalton is a highly skilled machine learning engineer currently serving as the Lead Machine Learning Engineer at Webroot, where expertise is applied in cybersecurity through advanced techniques such as sequence-to-sequence autoencoders, graph embedding, and anomaly detection. Prior experience includes a role as a Software Engineer at CyberFlow Analytics, focusing on TCP/IP behavior modeling and self-organizing maps, as well as providing IT support as a Residential Network Technician at UC San Diego. Thomas holds a Bachelor of Science in Mathematics with a focus on Probability and Statistics from UC San Diego and is pursuing a Master of Science in Statistics and Data Science at The University of Texas at Austin.