Neil Traft is a robotics and machine learning specialist with 14 years of software engineering experience and advanced research training, currently pursuing a PhD in Complex Systems and Data Science at the University of Vermont. He moved from industry roles at Uber/Aurora—where he led prediction analytics, unified evaluation for autonomy, and researched robustness and uncertainty—to academic work focused on meta-learning, transfer learning, evolutionary computation, and neural architecture search. His expertise spans the full robotics stack from vision to planning, with particular strength in planning under uncertainty and benchmarking long-tail real-world events. Neil combines a practitioner’s engineering chops (real-time perception and simulation work dating back to DARPA Challenge–era projects) with deep interests in computational intelligence, causal inference, and computational cognitive neuroscience. Colleagues know him for bringing rigorous evaluation frameworks to messy real-world ML systems and for a rare breadth of curiosity that ranges from software architecture to the origins of life.
14 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy - PhD Complex Systems and Data Science, Doctor of Philosophy - PhD Complex Systems and Data Science at University of Vermont
Master of Science (MSc) Computer Science, Master of Science (MSc) Computer Science at The University of British Columbia
Bachelor of Science (B.S.) Majors: Computer Science and English / Minor: Mathematics, Bachelor of Science (B.S.) Majors: Computer Science and English / Minor: Mathematics at Tulane University
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Neil Traft - Research Assistant at University of Vermont