Tommy White is a Senior Data Scientist with seven years of experience blending academic research and production engineering to build robust machine learning solutions for security and fraud domains. Trained in computer science at Cal Poly and Dartmouth, he pursued PhD-level research in cybersecurity and anomaly detection before completing an MS and moving into industry roles at Amazon and American Express. His work spans deep learning for unusual, high-signal datasets (including terrorism-related anomaly detection) and practical systems engineering such as high-impact API and deployment tooling. At American Express he leads efforts to translate state-of-the-art models into fraud-detection algorithms that improve customer experience, drawing on prior successes in automated decision systems and edge-focused preprocessing. Based in Ontario, California, he brings a researcher’s rigor to production problems and a demonstrated ability to turn academic insights into measurable business value.
7 years of coding experience
3 years of employment as a software developer
California Polytechnic State University, San Luis Obispo
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Dartmouth College
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