Computational Modeling Manager at L & L Products, Inc.
Reagan currently leads the Computational Modeling group of L&L Products, a Romeo; MI based custom chemical compounding company serving the automotive and aerospace sectors. With a global technical, sales and manufacturing footprint, L&L Products provides custom sealing, acoustic and structural solutions for some of the largest manufacturing organizations globally.
Reagan is also becoming well known as a voice speaking on behalf of the Alliance for High Performance Digital Manufacturing (AHPDM) advocating the case for supporting the “missing middle” – those literally hundreds of thousands of small to medium-size manufacturers struggling to remain competitive in an increasingly challenging global marketplace. Drawing from his own hands-on experience, Reagan provides a real-life example of how the adoption of advanced computing technologies can positively impact the manufacturing industry by modernizing operations, accelerating time to market, becoming more competitive, and lowering total cost of ownership. Definitely a person who’s efforts we will be supporting in the coming year.
Formerly a research scientist for Ford Motor Company in their Scientific Research Laboratory, Reagan has B.S., M.S. degrees in mechanical engineering from North Carolina State University and a PhD in mechanical engineering from University of Virginia. He previously led modeling efforts for blast propagation, human lethality assessments, and structural reliability at Applied Research Associates of Raleigh, N.C. before joining Ford Motor Company in 2000, where he contributed in their Advanced Vehicle Engineering, Office of General Counsel, and Scientific Research communities.
Reagan is widely known and respected for his deep expertise in algorithm development, simulation, and heuristic modeling using MATLAB, Mathematica, JMP (SAS), RapidMiner, Templex, and FORTRAN, authoring several hundred programs (many integrated as corporate best practice.) and for his broad based technical computing experience covering business and engineering intelligence collection, manipulation, and knowledge extraction. Some of his research and modeling interests include use of high performance computing for the numerical modeling of nontraditional problems/processes, statistical design exploration, nonlinear transient modeling, and optimization related to for various engineering and business challenges.
A technically strong and experienced analytics researcher and product manager, Reagan’s objective is to serve in a role that will challenge his leadership ability and technical skills with opportunities for innovation, while providing appropriate design and financial authority for generating mutual success.