Ivan Casfillo serves as the Senior Data Scienfist for the Chemometrics, AI and Stafisfics group within the Technical Experfise and Support (TES) organizafion. Since joining Dow in 2011, Ivan has applied data analyfics, AI, and machine learning technologies alongside chemical engineering principles to support various projects for businesses and funcfions across Dow. These projects include unplanned shutdown invesfigafions, accelerated catalyst aging issues, kinefics model improvement, customer technical service support, plant start-up support, advanced control and opfimizafion improvement, capacity improvement, cycle fime reducfion, and fouling issues. Ivan also teaches and coaches advanced data analyfics and stafisfics to facilitate data-driven problem-solving and promote data analyfics usage at Dow.

Ivan has a Ph.D. in Chemical Engineering from the University of Texas at Ausfin, a M.S. in Electrical Engineering from Universidad de los Andes (Bogota, Colombia), with an emphasis in control and automafion, and a B.S. in Electrical Engineering from Ponfificia Universidad Javeriana (Bogota, Colombia). His research interests are fault detecfion and isolafion, the applicafion of machine learning approaches in chemical manufacturing, opfimizafion, and control. Ivan has been recognized with eight Technology Center Awards, generafing over $210MM NPV10 in value. Ivan currently serves as a member of the AIChE Program Commiftee Execufive Board (EBPC) and Director for the Fuels and Petrochemicals Division (F&PD). He also served as the Industry 4.0 Topical Chair (from 2021 to 2023) and as the Meefing Program Chair (MPC) for the 2022 AIChE Spring meefing. In 2021, Ivan received the AIChE Herb Epstein Award for Technical Programming. Ivan is co-author of 20+ internal Dow technical reports (CRIs), 40+ external journal publicafions, 38+ conference meefing presentafions and 3 patents.