Salvador Garcia Muñoz is a senior engineering advisor for Eli Lilly and Company. He actively contributes to the development and commercialization of new medicines influencing internal and external key players to incorporate elements from chemical engineering and mathematics into the necessary regulatory frameworks that govern the manufacture of pharmaceuticals. Prior to his current position, he spent nine years working for Pfizer Global R&D as a member of the process modeling and engineering technology group where he contributed to the scale-up and transfer of drug product manufacturing processes using modeling, simulation and data analytics. In his pre-pharma years, he worked for Aspen Technology as a business support engineer, providing consulting and services for the modeling and simulation and the real-time data management business.

Chrysanthos E. Gounaris is Associate Professor of Chemical Engineering at Carnegie Mellon University. After undergraduate studies in his native Greece, he earned his Ph.D. in Chemical Engineering from Princeton University, where he worked on issues of global optimization and its application for the study of microporous materials. After graduation, Chrysanthos joined McKinsey & Co. as an Associate, where he provided consultation to petrochemical, pharmaceutical and consumer packaged-goods companies on a variety of projects of operational and strategic nature. He returned to Princeton to pursue post-doctoral research before joining Carnegie Mellon in 2013. His research interests lie in the areas of distribution and logistics, process planning and scheduling, cutting and packing, and network systems, with a methodological emphasis on developing robust optimization techniques to address operational uncertainty in these contexts. In addition, Chrysanthos is interested in applying mathematical optimization methodologies for the design of novel materials whose microstructure affords them superior catalytic performance.

Ignacio E. Grossmann, Dean University Professor and Former Head of Chemical Engineering at Carnegie Mellon, obtained his master of science and doctorate in chemical engineering from Imperial College, London. He joined Carnegie Mellon in 1979 after one year of industrial experience with the Instituto Mexicano del Petroleo. His interests are in the areas of mixed-integer and logic based programming, process synthesis, enterprise-wide optimization, and planning and scheduling. He was a recipient of the 1984 Presidential Young Investigator Award, the 1995 Computing in Chemical Engineering Award, the 1997 William Walker Award of AICHE, the 2003 INFORMS Computing Society Prize and the 2009 AIChE Warren Lewis Award. He is a member of the National Academy of Engineering, Fellow of AIChE and INFORMS, and holds an honorary doctorates from Abo Academy in Finland, Univ. Maribor in Slovenia and Technical University of Dortmund.

Carl D. Laird is a professor in the Department of Chemical Engineering at Carnegie Mellon University. Laird received his B.S. in chemical engineering from the University of Alberta in 2000 and his Ph.D. in chemical engineering from Carnegie Mellon University in 2006. Laird runs an internationally recognized research program in the field of process systems engineering most known for contributions in high-performance computing techniques for large-scale nonlinear optimization and parallel scientific computing, open-source software development, and successful solution of problems in non-traditional, high-impact research areas, including public health, homeland security and critical infrastructure, and energy systems. He is the recipient of several research and teaching awards, including INFORMS Computing Society Prize, CAST Division Outstanding Young Researcher Award, National Science Foundation Faculty Early Development (CAREER) Award and the Montague Center for Teaching Excellence Award. He is also a recipient of the prestigious Wilkinson Prize for Numerical Software for his work on IPOPT, a software library for solving nonlinear, nonconvex, large-scale continuous optimization problems.

Nikolaos V. Sahinidis is Swearingen Professor of Chemical Engineering and Director of the CAPD at Carnegie Mellon University. He obtained his Ph.D. from Carnegie Mellon in 1990 and joined the faculty at Carnegie Mellon in 2007, after a sixteen-year long career at the University of Illinois at Urbana. His research has focused heavily on the development of theory, algorithms, and software for global optimization of mixed-integer nonlinear programs, with applications in X-ray imaging, bioinformatics, and molecular design. His BARON global optimization software has found applications in fields ranging from computational chemistry to energy modeling. His research activities have been recognized by several awards, including the 2004 INFORMS Computing Society Prize, the 2006 Beale-Orchard-Hays Prize from the Mathematical Programming Society, the 2010 Computing in Chemical Engineering Award from AIChE, the Constantin Caratheodory Prize in 2015, and the National Award and Gold Medal from the Hellenic Operational Research Society in 2016. He is a Fellow of AIChE and INFORMS.

Jeffrey J. Siirola retired in 2011 as a Technology Fellow at Eastman Chemical Company where he had been for more than 39 years leading a group in process synthesis. He now holds a position as Professor of Engineering Practice at Purdue University. Jeff received his Ph.D. from the University of Wisconsin-Madison in 1970. His areas of interest include chemical process synthesis, computer-aided conceptual process engineering, design theory and methodology, chemical process development and technology assessment, resource conservation and recovery, sustainable development and growth, carbon management, and chemical engineering education. Jeff is a trustee and past president of CACHE. He is a member of the National Academy of Engineering and was the 2005 President of the American Institute of Chemical Engineers.

Ana I. Torres is an assistant professor in the Department of Chemical Engineering at Carnegie Mellon University. Her research focuses on sustainability and process systems engineering as applied to clean and sustainable energy. Torres earned her B.S. in Chemistry in 2003 and a diploma in Chemical Engineering in 2005, both from the Universidad de la República Oriental del Uruguay. In 2013, after two years of industrial experience, she earned her Ph.D. in Chemical Engineering from the University of Minnesota - Twin Cities. She completed her postdoctoral studies at the Massachusetts Institute of Technology (MIT) in 2014. She was a keynote speaker at the Interamerican Congress of Chemical Engineering Incorporating the 68th Canadian Chemical Engineering Conference in 2018. She also served as a keynote at the "Unprecedented" Webinar Series on chemical innovation to achieve the United Nations' Sustainable Development Goals in 2021. With experience as both an editor and reviewer, Torres has contributed to many journals, including Clean Technologies and Environmental Policy (Springer) and Computational Methods in Chemical Engineering (Frontier), among others.