Summary
Patrick Watters is a Research Assistant and PhD candidate in Computer Science at the University of Nevada, Reno, with 10 years of industry and research experience focused on privacy-preserving machine learning and deep learning system optimization. He pairs applied research on zero-knowledge techniques with practical engineering expertise gained through roles at Automated Intelligence and a Bell Labs PhD internship, delivering performance and security improvements for data-driven systems. Patrick has a strong foundation in big data and model training pipelines, with a demonstrated knack for optimizing data loading and scaling workflows. Based in Reno, he bridges academia and production engineering, often translating theoretical cryptographic tools into actionable ML safeguards. His background combines top academic performance (First Class Honours, 4.0 GPA) with hands-on deployments, making him adept at both prototyping novel ideas and pushing them toward real-world impact.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Nevada, Reno
Bachelor of Science - BS, Computer Science, First Class Honours (4.0 GPA), Bachelor of Science - BS, Computer Science, First Class Honours (4.0 GPA) at Ulster University