Tim Nonet has experience in deep learning, software engineering, and optimization method development. He now focuses on developing and applying computational methods to produce domain-relevant, actionable results.
Prior to joining End-to-End, Tim most recently developed fuel-optimized routing algorithms at General Motors. While at MIT he developed packages in R, C++, and Python to solve a wide range of open data analytics problems. During his time at Rice University he was the lead TA for a graduate statistical machine learning class.
Tim received his Master of Business Analytics degree from MIT, building on his BS (Mechanical Engineering) and BA (Computation and Applied Mathematics) from Rice University.