Spencer Schaber is a chemical engineer and data scientist with extensive experience in the industry. He holds an MSCEP and a PhD in Chemical Engineering from the Massachusetts Institute of Technology, and a B.ChE in Chemical Engineering from the University of Minnesota-Twin Cities. He has worked at Cargill in various roles, including Process Modeling North America Lead, Lead Data Scientist, Senior Data Scientist, Senior Research Engineer, and Research Engineer. He was also a MIT Practice School Consultant for BP and Cabot Corporation during his studies. Spencer previously conducted research at the University of Minnesota, Stanford University, and Cornell University.

As a chemical engineer and data scientist, Spencer bridges the gap between traditional engineering and modern data-driven decision making. His expertise revolves around process modeling, data analysis, and optimization. He has a keen interest in using computational tools and data analytics to improve process design, identify opportunities for optimization, and reduce waste. He is an experienced consultant and team leader, having worked on numerous projects with a diverse range of stakeholders.