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• Operations Research
• Probability and Stochastic Modeling
• Optimization
• +5 more

Michael Veatch is a Professor of Mathematics at Gordon College in the School of Science, Technology and Health. Holding a Ph.D. from MIT with prior industry experience in defense logistics, he bridges theoretical operations research with practical humanitarian applications. His educational background includes: B.A. from Whitman College M.S. from Rensselaer Polytechnic Institute Ph.D. from Massachusetts Institute of Technology Dr. Veatch specializes in applying probability models and optimization techniques to humanitarian logistics and queueing networks. His research spans pandemic vaccine allocation strategies, gift-in-kind donation systems for organizations like World Vision, and airport congestion management during disaster relief operations. He investigates how faith-based values influence operational decisions in Christian relief organizations through collaborations with Wheaton College and MIT. His work uniquely integrates mathematical rigor with real-world humanitarian challenges, particularly in crisis response scenarios. Analysis of his publication record reveals a strategic evolution from theoretical queueing network research toward increasingly applied humanitarian logistics work. His recent publications demonstrate sophisticated optimization frameworks addressing urgent global health challenges like pandemic response, while maintaining strong theoretical foundations in stochastic modeling and dynamic programming. The interdisciplinary nature of his work connects mathematics, operations research, public health, and ethical decision-making. Dr. Veatch has made significant contributions through his textbook Linear and Convex Optimization: A Mathematical Approach (Wiley, 2021) designed for mathematics majors. He developed an industry-focused course through the Preparation for Industrial Careers in Mathematical Sciences program and contributes to vocational guidance for mathematics students. His active research collaborations include: International Vaccine Allocation with MIT researchers Gift-in-Kind Acceptance Strategies for World Vision Informed Compassion project on faith-based operational decisions Disaster airport scheduling using Haiti earthquake data

Seongkyu YoonView profile

Professor

• Systems Biology
• Biomanufacturing
• Process Analytical Technology
• +9 more

Seongkyu Yoon is a Professor of Chemical Engineering at the Francis College of Engineering, University of Massachusetts Lowell. He serves as co-Director of the Massachusetts Biomanufacturing Center, UMass Site Director of the NSF/IUCRC Research Center (AMBIC - Advanced Mammalian Bioprocessing Innovation Center), and UMass technical lead for Manufacturing USA in Biomanufacturing (NIIMBL). His academic appointments and leadership roles position him at the forefront of biopharmaceutical manufacturing innovation and workforce development. Dr. Yoon's educational background demonstrates his interdisciplinary expertise: Ph.D. in Chemical Engineering (2001), McMaster University - Hamilton, Canada MBA (2017), Babson College - Wellesley, MA M.S. in Chemical and Biomolecular Engineering (1990), Korea Advanced Institute of Science and Technology - Daejon, Korea B.S. in Chemical Engineering (1988), Yonsei University - Seoul, Korea His research program focuses on systems engineering approaches to life sciences with three primary thrusts: Gene and Cell Therapy, Biomanufacturing Innovation, and Formulation and Drug Delivery. Within Gene and Cell Therapy, his group explores alternative hosts for Adeno-associated Virus production, gene therapy media optimization, CRISPR-CAS9 mediated genome engineering of HEK293 cells, and develops analytical methods for quantification of full, partial, and empty capsids in AAV products. His Biomanufacturing Innovation research includes AI-enabled hyperspectral imaging for cell culture monitoring, metabolic flux analysis of iPS cells, integrated MPC systems for bioprocess engineering, and digital-twin model development. In Formulation and Drug Delivery, his team works on single vial mass flow rate monitoring for pharmaceutical freeze-drying heterogeneity. Analysis of Dr. Yoon's recent publications reveals a strong trend toward advanced biomanufacturing technologies, particularly in viral vector production for gene therapy. His work integrates systems biology, metabolic modeling, and process analytics to address critical challenges in biopharmaceutical manufacturing. A significant portion of his research focuses on CHO cell culture optimization, glycosylation control, and continuous bioprocessing technologies, reflecting industry needs for more efficient and robust manufacturing platforms. Among his notable recognitions: Ward Chaired Professor of Biomedical Material Sciences (2016) NSF/IUCRC: AMBIC, Advanced Mammalian Bioprocessing Innovation Center (2016) Control and estimation of glycosylation profile via media supplementation based on intracellular models in mammalian cell cultures (2017) Data-fusion based platform development of population PKPD modeling and statistical analysis for bioequivalenc (2015) Dr. Yoon has mentored numerous graduate students, with many now working at major pharmaceutical and biotechnology companies including AbbVie, Alexion, BMS, Amgen, Takeda, and Genentech. His research group has received substantial funding from NSF, FDA, and industry partners, supporting an integrated approach to biomanufacturing innovation. He has also developed and led numerous professional training programs in bioprocessing, contributing significantly to workforce development in the biopharmaceutical industry. His research group operates within the Advanced Mammalian Biomanufacturing Innovation Center (AMBIC) and collaborates closely with the Biomanufacturing Innovation Institute. The team includes postdoctoral researchers, graduate students, and research staff working on various aspects of bioprocess engineering, systems biology, and biomanufacturing analytics. They maintain strong industry partnerships that ensure their research addresses real-world challenges in biopharmaceutical manufacturing.