Danilo Abril (“ Kimberly-Clark Latin America Builds an Optimization-Based System for Machine Scheduling ”) has been an OR senior analyst in the Kimberly Clark Strategic Operations Research Team (SORT) since May 2007. He received a BSc in industrial engineering, cum laude, from the Universidad Industrial de Santander in 2003. During the Colombian Congress of Operations Research in 2002, he received the Young Researcher Award for his work, “Advanced Optimization Techniques Applied to Water Distribution Network Design.” In 2007 he received an MSc in industrial engineering from the Universidad de los Andes. During the past 10 years, he has been involved with a number of consulting projects for Colombian companies and government institutions. His main research and consulting interests are related to optimization models for supply chain network design and analysis, and production planning and scheduling. Jorge Arias (“ Kimberly-Clark Latin America Builds an Optimization-Based System for Machine Scheduling ”) is a Kimberly-Clark Latin America OR junior analyst and has been with the company since 2007. He joined the company as a trainee in the cross-sourcing team while he was studying industrial engineering at ITBA University in Buenos Aires. After graduation he joined the SORT team, where he was mainly dedicated to activities in production planning using optimization and segmentation of products based on sales and profitability variables. He works on a materials planning project implementing the Lean methodology. Karolina Bak (“ Marketing Optimization in Retail Banking ”) leads the analytical team in the CRM Department, Bank BPH Poland, GE Capital Group. She is a Green Belt Certified Six Sigma expert. She earned a master's degree in management from the University of Gdansk. She has been involved in developing many frameworks and tools that optimize customer management, for example, marketing optimization in retail banking, CRM dashboard, and CRM campaign trucking system. Debasis Bal (“ Marketing Optimization in Retail Banking ”) is the lab manager for the data mining lab at GE Global Research. He has a bachelor's degree in mechanical engineering and master’s degrees in IT and management. He has worked extensively in the data mining and analytics areas with a focus on risk and marketing projects for financial services and energy sectors. Tarun Bhaskar (“ Marketing Optimization in Retail Banking ”) is a lead scientist with the Software Sciences and Analytics Group in GE Global Research, Bangalore. He works on research projects related to the application of OR for a variety of GE businesses. He has worked on projects with GE Capital, GE Healthcare, and GE Energy. He is a fellow of the Indian Institute of Management, Calcutta. His current interests are bottom of the pyramid market, application of OR in financial services, energy, and health care. Heng Cao (“ OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains ”) is the CTO for Business Analytics and Optimization at IBM Research–China. She has more than 10 years experience in solving real-world business problems through combining the modern enterprise information technology with advanced analytics and optimization methods. She earned an MS in robotics from Carnegie Mellon University. She also holds MS and BS degrees in control from Tsinghua University, Beijing, China. Her research interests include areas such as decision support systems, BI, machine learning, simulation, and enterprise information system architecture design. Casey Chung (“ A Short-Range Scheduling Model for Blockbuster's Order-Processing Operation ”) directs distribution operations at Gap Inc. Previously he was senior director of supply chain operations at Blockbuster. His interests are in bridging the chasm between academic theory and industry practice. His research has focused on production planning, logistics, demand forecasting, and product allocations. Sridhar Dasaratha (“ Marketing Optimization in Retail Banking ”) is a member of the Software Sciences and Analytics organization in GE Global Research. He has a PhD in chemical engineering from Iowa State University. His research interests are in predictive modeling, pattern recognition, and chemometrics. He has worked on a variety of applications including automated chemical identification algorithms for portable devices, techniques for medical prognostics, and statistical modeling for process improvement. Milind Dawande (“ A Short-Range Scheduling Model for Blockbuster's Order-Processing Operation ”) is a professor of operations management at the School of Management, University of Texas at Dallas. His research interests are in discrete optimization problems in manufacturing and operations. He serves on the editorial boards of Manufacturing & Service Operations Management, Production and Operations Management, IIE Transactions, and Journal of Scheduling. Faramroze G. Engineer (“ Universal Tool for Vaccine Scheduling: Applications for Children and Adults ”) is a lecturer at the University of Newcastle, Australia. His research interests include the development and application of optimization methods, in particular integer programming techniques, to solve problems in logistics and supply chain management, transportation, network design, and health care. Jianying Hu (“ OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains ”) is a research staff member at IBM T. J. Watson Research Center, New York. She received the Ph.D. degree in computer science from SUNY Stony Brook in 1993. She has 20 years of experience on research problems in statistical pattern recognition, machine learning and data mining, with applications to health-care informatics, business analytics, document analysis, and multimedia content analysis and retrieval. She has served as associate editor for IEEE Transactions on Image Processing and IEEE Transactions on Pattern Analysis and Machine Intelligence, and is on the editorial board of the journals Pattern Recognition and International Journal on Document Analysis and Recognition. She is a fellow of the International Association of Pattern Recognition and is a senior member of IEEE. Chen Jiang (“ OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains ”) is a software engineer and BI architect at the Service Oriented Enterprise Software Group at the IBM T. J. Watson Research Center. He holds a master's degree in information systems management from Carnegie Mellon University. He specializes in J2EE Web development and Cognos business intelligence enterprise software system. He worked on projects to solve problems for large datasets and provide integration across IBM business intelligence tools. Pinar Keskinocak (“ Universal Tool for Vaccine Scheduling: Applications for Children and Adults ”) is the Mary Anne and Harold R. Nash Professor in the School of Industrial and Systems Engineering and the cofounder and codirector of the Center for Humanitarian Logistics at Georgia Institute of Technology. She also serves as the associate director for research at the Health Systems Institute at Georgia Tech. Her research focuses on applications of OR and MS with societal impact (particularly health and humanitarian applications), supply chain management, pricing and revenue management, and logistics/transportation. She has worked on projects in several industries including automotive, semiconductor, paper manufacturing, printing, health care, hotels, and airlines. Her research has been published in journals such as Operations Research, Management Science, Manufacturing & Service Operations Management, Production and Operations Management, IIE Transactions, Naval Research Logistics, and Interfaces. Tarun Kumar (“ OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains ”) is a senior research engineer at IBM working in business analytics and mathematical sciences. His areas of focus and expertise include mathematical modeling, stochastic optimization, mathematical programming, and enterprise solution development. He has 15 years experience working across industries, building and deploying analytics and optimization solutions to enable optimal decision making. Ta-Hsin Li (“ OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains ”) is a research staff member at the IBM T. J. Watson Research Center. He received a PhD in applied mathematics from the University of Maryland, College Park, in 1992. Before joining IBM in 1999, he was on the faculty of the Statistics Department at Texas A&M University, College Station, and the Statistics and Applied Probability Department at the University of California, Santa Barbara. His main research interests include statistical theory and methods for time series analysis, signal and image processing, and spatial data analysis and modeling. He serves as associate editor for the IEEE Transactions on Signal Processing, the EURASIP Journal on Advances in Signal Processing, and the Journal of Statistical Theory and Practice. He is a Fellow of the American Statistical Association (ASA) and an elected Senior Member of the Institute of Electrical and Electronic Engineers (IEEE). Yang Liu (“ OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains ”) is an advisory software engineer at the Statistical Analysis and Forecasting Group in IBM T. J. Watson Research Center. She received her master's degree in information systems management from Carnegie Mellon University. She is a business intelligence specialist with focus on data architect, online analytical processing, and database and Web BI reporting application design and development. Yingdong Lu (“ OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains ”) is a research staff member in the Department of Business Analytics and Mathematical Sciences at IBM T. J. Watson Research Center. His research interests include stochastic processes, applied probability, inventory management, and logistics. Shilpa Mahatma (“ OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains ”) is a senior engineer in the Business Analytics and Mathematical Sciences Department at IBM Research. She received her BE degree from Jawaharlal Nehru Engineering College, India in 1999 in computer science. She joined IBM Research in 2004. She has been the chief architect on a number of key IBM initiatives. Her work received the KDD Award and has been a runner-up for the Edelman Award. She has architected the solutions in Smarter Planet initiatives involving the use of advanced analytics to provide customers with strategic and tactical business insight. Jayanth K. Marasanapalle (“ Marketing Optimization in Retail Banking ”) is a member of the software sciences and analytics organization in GE Global Research. He has a master's degree in OR from Princeton University. His research interests are in the areas of optimization and predictive modeling techniques applied to financial services, media operations, and energy services. Aleksandra Mojsilović (“ OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains ”) manages the Probabilistic Analysis and Optimization Group, a part of the Business Analytics and Mathematical Science Department at the IBM T. J. Watson Research Center in Yorktown Heights, New York. The mission of the group is to conduct leading-edge research in probability theory, applied mathematics, statistical modeling/inference, and machine learning, and apply its expertise to solve challenging problems in business analytics and decision support for IBM and its clients. Aleksandra has led a number of projects in client analytics, market intelligence, workforce planning, salesforce optimization, and health care. She holds a PhD in electrical engineering from the University of Belgrade, Serbia. Her primary research interests include multidimensional signal processing, pattern recognition, machine learning, and services science. Larry K. Pickering (“ Universal Tool for Vaccine Scheduling: Applications for Children and Adults ”) is senior advisor to the director of the National Center for Immunization and Respiratory Diseases of the CDC, executive secretary of the ACIP, and professor of pediatrics at Emory University School of Medicine in Atlanta. He is past president of the Pediatric Infectious Diseases Society, a member of the IDSA Awards Committee and the Board of Directors and treasurer of the National Foundation for Infectious Diseases, editor of the Red Book®, coeditor of the fourth edition of Principles and Practice of Pediatric Infectious Disease, and recipient of the 2007 Pediatric Infectious Diseases Society's Distinguished Physician Award. Vittal Prabhu (“ Kimberly-Clark Latin America Builds an Optimization-Based System for Machine Scheduling ”) is a professor in the Marcus Department of Industrial and Manufacturing Engineering at Pennsylvania State University. He works in the area of distributed control systems with a focus on manufacturing and service enterprises. The goal of his research is to develop a unified mathematical and computational framework that enables engineering of distributed control systems consisting of discrete-events, physical processes, and service processes. He teaches courses in manufacturing systems, information systems, retailing, financial services, and distributed systems. Divakar Rajamani (“ A Short-Range Scheduling Model for Blockbuster's Order-Processing Operation ”) is a clinical professor and managing director of the Center for Intelligent Supply Networks at the University of Texas at Dallas. He has had a ten-year career in industry at such companies as i2 Technologies and General Motors. He also served as a tenured faculty and associate head of industrial engineering at the University of Manitoba. Germán Riaño (“ Kimberly-Clark Latin America Builds an Optimization-Based System for Machine Scheduling ”) is OR manager for Kimberly-Clark Latin America and has been with the company since 2007. Previously he was a professor at Universidad de los Andes in his native Bogota. His research focuses in the interaction between stochastic models and optimization with emphasis in transportation and production planning models. Along with his students, he developed a stochastic modeling software library called jMarkov ( http://www.jmarkov.org ). He holds a PhD in industrial engineering and an MSc in OR from Georgia Institute of Technology, and BSc in physics and industrial engineering from Universidad de los Andes. Esteban Rodríguez (“ Kimberly-Clark Latin America Builds an Optimization-Based System for Machine Scheduling ”) is the Kimberly-Clark Latin America process and enhancement team leader for Latin America. He worked in different supply chain positions since joining the company in 1998. In 2005 he participated in SAP implementation for the Caribbean region as an internal consultant for the production planning area. Along with his team, since 2006 he has been developing a support decision platform that hosts the OR and analytics solutions of the company. He holds an associate degree in software development, a BSc in business administration with a major in marketing, and an MSc in supply chain management from Universidad Latina de Costa Rica. David Sánchez (“ Kimberly-Clark Latin America Builds an Optimization-Based System for Machine Scheduling ”) is an OR junior analyst at Kimberly-Clark Latin America and has been with the company since January 2009. His work mainly consists in developing analytical models for decision support in supply chains, particularly production planning. He holds an MSc in OR (cum laude) and a BSc in industrial engineering (cum laude), both from Universidad de los Andes, Colombia. Based on the work he has been performing at Kimberly-Clark, he developed an innovative long-term planning methodology for his graduation project. Abhinanda Sarkar (“ Marketing Optimization in Retail Banking ”) is a principal scientist in the Software Sciences and Analytics Group at GE Global Research. His interests are in statistical data analysis and stochastic models applied to engineering systems and financial portfolios. He is a graduate of the Indian Statistical Institute and Stanford University and is a certified Six Sigma Master Black Belt. Nazrul Shaikh (“ Kimberly-Clark Latin America Builds an Optimization-Based System for Machine Scheduling ”) is an assistant professor in industrial engineering at the University of Miami, Coral Gables. His research interests are in the areas of analysis of large-scale (social) networks and the estimation of the impact that these underlying network structures have on how services are perceived and used. Applications of his research include developing and optimizing strategies for social media marketing, customer retention, and new customer acquisition. Mayank Sharma (“ OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains ”) is a research staff member in the Business Analytics and Mathematical Sciences Department at the IBM T. J. Watson Research Center. He works on problems concerning the modeling and optimization of complex systems such as business organizations and stochastic processing networks using methods from OR. His areas of interest include applied probability, stochastic optimization, information theory, and network algorithms. He received his PhD in electrical engineering from Stanford University. Hannah K. Smalley (“ Universal Tool for Vaccine Scheduling: Applications for Children and Adults ”) is a PhD student in the School of Industrial and Systems Engineering at Georgia Institute of Technology. Her research interests include applying modeling techniques to real-world problems, specifically those faced in health care. Mark S. Squillante (“ OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains ”) is a research staff member in the Business Analytics and Mathematical Sciences Department at the IBM T. J. Watson Research Center, Yorktown Heights, New York. His research interests concern mathematical foundations of the analysis, modeling, and optimization of complex stochastic systems, including stochastic processes, applied probability, stochastic optimization and control, and their applications. He received his PhD from the University of Washington. He is a Fellow of ACM and IEEE and serves on the editorial boards of Operations Research, Performance Evaluation, and Stochastic Models. Chelliah Sriskandarajah (“ A Short-Range Scheduling Model for Blockbuster's Order-Processing Operation ”) is a professor of operations management and holds the Ashbel Smith Chair at the School of Management of the University of Texas at Dallas. His research revolves around solving various production planning and scheduling problems with the aim of making the production process more economical and efficient. His research interests lie in the general area of production planning and scheduling, supply chain management, and performance evaluation of production systems. He has published over 100 scholarly articles in leading journals. Over the years a number of sponsors, including National Science Foundation (USA), Natural Sciences and Engineering Research Council (Canada), Manufacturing Research Cooperation of Ontario (Canada), and NATO have supported his research. He is a senior editor of Production and Operations Management and is a member of INFORMS, POMS, IIE, DSI, IEEE, and APICS. Ramasubramanian Sundararajan (“ Marketing Optimization in Retail Banking ”) is a lead engineer with the Software Sciences and Analytics Group of GE Global Research, Bangalore. He received an undergraduate degree in information systems from BITS Pilani and is a fellow of the Indian Institute of Management, Calcutta. Over the years, he has worked on projects with GE Capital, Healthcare and Energy, involving applications of statistics, machine learning, and optimization. Yichong Yu (“ OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains ”) joined the IBM Software Group in 2000. She worked in various development teams for a number of IBM software products, including CICS/Encina distributed transaction processing system, WebSphere Voice Application Access (WVAA), and Natural Language Understanding (NLU) Module for IBM ViaVoice. She joined IBM Research in 2005. Her interests include software architecture and framework design, data management and data mining, and Web technologies. Beata Zmudzka (“ Marketing Optimization in Retail Banking ”) is a manager in the Customer Relationship Management Department of Bank BPH, one of Poland's major financial institutions. In her seven years with the GE Capital group, she has led on forecasting and modeling and performed major project management roles in optimizing CRM activities to increase revenue from sales. Currently, she is leading on customer loyalty and is developing an approach to profitability-based customer life cycle management.