Carlos Alberto Escobar Diaz

Senior Research Engineer @ General Motors

Carlos Alberto Escobar Diaz is a machine learning engineer ranked in the top 3% in TEXATA, the Big Data Analytics World Championships (2017). He is a Ph.D. candidate in Engineering Sciences at Tecnológico de Monterrey, certified black belt in six sigma and design for six sigma at Arizona State University and University of Michigan respectively and also a member of Alpha Pi Mu and Tau Beta Pi engineering honor societies. Working as a Senior Research Engineer at the Manufacturing Systems Research Lab of General Motors, Global Research and Development, his research interests include the application of Artificial Intelligence (AI) techniques to solve a full range of hitherto intractable manufacturing problems, research work is supported by 7 peer-reviewed scientific articles.