Jacquelyn Howard

Supply Chain Logistics at Starbucks
“Breaking the Code: Enabling a Hyper Fresh Food Supply Model”
VP, Global Food Supply Chain – Starbucks

Jacquelyn is currently charged with establishing the sustainable, end-to-end architecture for the Starbuck food supply chain. As an experienced supply chain professional, she is inventive, persuasive and calm under intense pressure. Over the years she has become known as a proven developer of strong talent, creator of best-in-class processes, in possession of superb domestic and global leadership skills. Jacquelyn has been accountable for building competitive, quality, food-safe supply chains. She effectively uses change management strategies to transform departments into strategic, metric-driven business enablers that provide a competitive advantage. For nearly 20 years, Jacquelyn was an invaluable leader within McDonald’s supply chain and throughout the organization. In her last role, she led several U.S. leadership-sponsored assessments to guide critical-to-success future business investments. She was part of the leadership team within McDonald’s China as VP – McDonald’s China/Hong Kong Supply Chain 2012 – 2015. Prior to McDonalds, Jacquelyn was a 10-year veteran of E.I. du Pont de Nemours. Jacquelyn’s accomplishments have been celebrated through a number of awards including the McDonald’s Eagle Leadership, Women’s Leadership Network, Global Supply Leadership Board Excellence, Asia Pacific-Middle East-Africa Gold Standard Quality, and the Circle of Excellence for Brand Protection Awards. External recognition includes: China’s 7-star Quality Excellence, the Hong Kong Malcolm Baldridge Quality and the 2013 inaugural class of the Princeton High School (Cincinnati, OH) Distinguished Alumni Awards.

Jacquelyn’s community commitments include the Chicago Boys & Girls Club; Junior Achievement instructor; Duke University Alumni board, Still Middle School PTA Vice President and United Way Big Sister program. She is a member of the Intralox China Food Safety Board and serves as an advisor to a number of startup businesses. A Duke University (B.S. Biomedical Engineering) and a University of Delaware (MBA) alumna, she and her family’s new home is in scenic Seattle, Washington.

Jim Cochran

Sports Analytics
“How Analytics Fits Into the Wide World of  SpORts”
University of Alabama

James J. Cochran is Associate Dean for Research, Professor of Statistics, and the Rogers-Spivey Faculty Fellow in the Department of Information Systems, Statistics and Management Science at The University of Alabama. He earned a PhD in Statistics from the University of Cincinnati in 1997, and he has been a Visiting Scholar with Stanford University, the University of South Africa, the Universidad de Talca, Pôle Universitaire Léonard De Vinci, and the University of Limpopo. His research focuses on problems at the interface of statistics and operations research, and he has taught a wide variety of statistics and operations courses from the introductory undergraduate level through PhD seminars. Dr. Cochran is founding Editor-in-Chief of the Wiley Encyclopedia of Operations Research and the Management Sciences and the Wiley Series in Operations Research and Management Science as well as the forthcoming Guide to the Analytics Body of Knowledge. He has published over forty research articles and a dozen book chapters, and he is coauthor of seven textbooks in statistics, operations research, and analytics. He has served as a consultant to a wide variety of corporations, government agencies, and not-for-profit organizations around the world, and he was a founding co-chair of Statistics without Borders and a member of the founding committee for INFORMS Pro Bono Analytics initiative. In 2008 Dr. Cochran received the INFORMS Prize for the Teaching of OR/MS Practice, in 2010 he received the Mu Sigma Rho Statistical Education Award, and in 2011 he was named a Fellow of the American Statistical Association. In 2014 he received the American Statistical Association’s Founders Award, in 2015 he received the Karl E. Peace Award for outstanding statistical contributions for the betterment of society, and in 2017 he received the American Statistical Association’s Waller Distinguished Teaching Career Award and was named a Fellow of INFORMS.

Bertan Altuntas

Analytics at Facebook

Bertan is currently managing a data science team in the Seattle offices of Facebook focusing on measuring Facebook Search Engine Quality and improvements to the natural language processing sub-systems. He joined Facebook after about 4 years at Amazon, most recently working as a data science manager in the North American supply chain operations. His training is in Industrial Engineering and he spent earlier part of his career writing a lot of simulation and optimization code in the supply chain domain. He loves all things data and really enjoys the thrill of discovering new things hidden in data. He is originally from Turkey and enjoys spending time on the Mediterranean coastline in summer with his wife Sara and 2 year-old son Knox Aydin. Knox Aydin is a future “hacker” so Bertan is always busy teaching him new “hacks”.

Archis Ghate

Advanced Analytics Models in Healthcare:  Optimal Fractionation in Radiotherapy
University of Washington

Archis is a Professor and Associate Chair in the Department of Industrial & Systems Engineering at the University of Washington in Seattle, where he currently holds the College of Engineering Endowed Professorship in Healthcare Operations Research. He joined the University of Washington as an Assistant Professor in 2006 after receiving a PhD in Industrial and Operations Engineering from the University of Michigan in 2006, and an MS in Management Science and Engineering from Stanford in 2003. He completed his undergraduate education at the Indian Institute of Technology, Bombay, India, in 2001. His field of study is Operations Research with a methodological focus on stochastic and convex optimization. Archis is a recipient of the NSF CAREER award, and of the award for Excellence in Teaching Operations Research from the Institute of Industrial Engineers. Archis has served on the editorial boards of several journals in his field.

Greg Glockner

Mathematical Programming

Dr. Gregory Glockner has a B.S. magna cum laude from Yale University in Applied Mathematics and Music, and an M.S. and Ph.D. in Operations Research from the Georgia Institute of Technology. His doctoral dissertation was awarded the 1997 Transportation Science Dissertation Prize from INFORMS. Dr. Glockner has trained users of optimization software in Brazil, Hong Kong, Japan, Singapore, South Korea, and throughout the USA and Canada. He is an expert in optimization modeling and software development: his professional experience in software development includes all major platforms and 9 of the top 10 programming languages in the TIOBE Programming Community Index. Prior to joining Gurobi Optimization in 2009, Dr. Glockner was partner and Chief Operating Officer for Dwaffler, a provider of decision analysis tools. From 1998-2007, he worked at ILOG in two different positions: as a Senior Technical Account Manager and a Product Manager. As an ILOG Senior Technical Account Manager, he introduced advanced optimization and rules software to customers across North America. As an ILOG Product Manager, he was responsible for product management of CPLEX, ODM, OPL and Solver. From 1997-1998, he worked at Pacific Gas & Electric, where he developed stochastic programming software for hydroelectric power scheduling, and he built statistical tools for energy trading in the deregulated energy market. He has also worked as an operations research analyst for the Federal Aviation Administration and for Northwest Airlines.

Sareh Nabi

Machine Learning Applications in On-line Advertising

Sareh Nabi is a Product Manager in Business Intelligence team at Microsoft. Her current work focuses on building predictive analytical solutions for Dynamics AX product using machine learning and deep-learning techniques. She recently received her PhD in Information System and Operations Management from the University of Washington. Her current research focus on the applications of machine learning in various domains including operations management and online-advertising. More specifically, for her PhD research, she studied dynamic pricing in the presence of strategic behavior and uncertain demand. She has also worked on building informative priors for a Bayesian framework predicting the click-through-rate. Her previous educational background is undergrad in Mathematics from Sharif University of Technology in Iran and masters in Mathematics and Economics from Simon Fraser University in Canada.

Ram Krishnan

Predictive Analytics for Marketing Attribution
Director, eCommerce and Digital Analytics, Samsung

Ram is a seasoned analytics practitioner with more than 12 years of experience in the world of marketing and business analytics spanning companies such as FedEx, Groupon, and Samsung. Prior to that, he spent 5 years building ERP and Supply Chain software products. He holds a MBA from Purdue University and a BS (Computer Science) from India.

Mauricio Resende

Supply Chain Logistics

Mauricio G. C. Resende is a research scientist at and an affiliate professor of industrial and systems engineering at the University of Washington, in Seattle. He is an INFORMS Fellow. Mauricio grew up in Seropédica (BR), W. Lafayette (IN), Amherst (MA), and Rio de Janeiro (BR). His undergraduate studies were in electrical engineering (systems concentration) at the Pontifical Catholic University of Rio de Janeiro, Brazil and he earned a MSc in operations research at the Georgia Institute of Technology and a PhD in operations research at the University of California, Berkeley. Prior to joining Amazon in December 2014, Mauricio was a scientist for over 25 years at the research divisions of AT&T Bell Labs and AT&T Labs Research. His research has focused on optimization, including interior point algorithms for linear programming, network optimization, and nonlinear programming, as well as heuristics for discrete optimization problems arising in telecommunications, transportation and logistics, scheduling, location, assignment, and graph theory. Most of his work with heuristics has concentrated on GRASP (greedy randomized adaptive search procedures), a metaheuristic that he proposed in the late 1980s, and more recently on biased random-key genetic algorithms (BRKGA). Mauricio has published over 200 papers and is co-editor of several handbooks, including the Handbook of Heuristics, the Handbook of Optimization in Telecommunications and the Handbook of Applied Optimization. In 2016, he published the book Optimization by GRASP. He has served on the editorial boards of several journals, including Networks, J. of Heuristics, J. of Global Optimization, and Computational Optimization and Applications. He is the 2017 recipient of the Constantin Carathéodory Prize. Besides working in the e-commerce and telecommunications industries, Mauricio has worked in the electrical power and semiconductor manufacturing industries, where he developed several
optimization-based decision support systems.

Panel Discussion: New Frontiers of Predictive & Prescriptive Analytics

Laura Kang, Panel Moderator

Boeing HorizonX

Laura is a strategy analyst at HorizonX, Boeing’s innovation strategy group since its inception in 2017. Prior to joining the strategy function in 2016, she was a mathematics and modeling analyst at Boeing BR&T Applied Math group for 12 years. Her work includes network optimization, discrete optimization, and mathematical modeling and simulation and it covered wide range of applications such as manufacturing, air traffic management, airline operations, and HR. Prior to joining Boeing, she received a B.E in Industrial Engineering from Korea University and a Ph.D in Operations Research from M.I.T and she also received M.S in finance from Seattle University.

Jim Cochran

University of Alabama

Archis Ghate

University of Washington

Tim Jacobs


Tim Jacobs is the Director of Research Science and Middle Mile Planning Research and Optimization Science for Amazon.  At Amazon, Tim’s groups oversee the research and development of decision support applications and optimization efforts for middle mile, air, and ground planning and logistics worldwide. At Amazon, Tim leads numerous strategic development efforts, including the modeling and analysis supporting the design of Amazon’s air network, and innovative initiatives to manage the truckload transport business.  Previously, Tim was the Director of Crew Systems and Technologies for American Airlines, where he led all crew related technology efforts for the company.  His other past positions include Director of Operations Research and Revenue Planning Technologies for US Airways, and several leadership positions at American Airlines and Sabre.  Tim received his doctorate in Operations Research and Systems Engineering from Purdue University.  He continues to pursue new research initiatives, has authored more than 35 refereed publications, holds several U.S. patents within the airline industry, and is a licensed Professional Engineer.

Stefan Karisch

Boeing Analytics

As director of Analytics, Stefan Karisch is responsible for the development and application of data analytics capabilities to improve decision making across Boeing Global Services and enhance the experience of Boeing customers globally. Stefan began his career in 1998 with Carmen Systems, which was purchased in 2006 by Jeppesen, a Boeing subsidiary. He has worked in a variety of commercial and technical leadership roles for Carmen Systems, Jeppesen, and Boeing in Gothenburg (Sweden), Montreal (Canada), Denver, and now Seattle. Under his leadership, Jeppesen excelled in fact-based decision making for which the company was awarded the prestigious INFORMS Prize in 2010 by the Institute for Operations Research and the Management Sciences. He also led the definition and development of new operational efficiency solutions based on advanced analytics for the commercial, military, and business aviation markets. Prior to his career in industry, Stefan held academic positions in Denmark and Austria. He received a doctorate and a master’s degree in mathematics from Graz University of Technology (Austria) and a master’s degree in mathematics from the University of Waterloo (Canada). He attended executive education programs at Massachusetts Institute of Technology, McGill University, the Lean Executive Leadership Institute at the University of Kentucky, and Harvard Business School. In addition, Stefan served as vice president of the Institute for Operations Research and the Management Sciences (INFORMS), and as president of the Airline Group of the International Federation of Operational Research Societies (AGIFORS).

Jaideep Sen

IOT World Labs

Jaideep SenJaideep Sen is an entrepreneur, business leader and an author. Jaideep is currently the CEO of IOT WORLD LABS (, a software company that helps enterprises monetize their digital assets. Jaideep is also a visiting scholar at UC Berkeley, College of Engineering, SCET and a Board Member of Washington State IOT Council. Jaideep is an advisor to Roxagi Corporation. Prior to founding IOT WORLD LABS, Jaideep was Director of Product Marketing at Microsoft Corporation, responsible for running several global business initiatives in the Cloud and Enterprise Business. Prior to working at Microsoft Corporation, Jaideep held various business and technical leadership roles at Intel and HP. At Intel Corporation, Jaideep built a professional services business and ran business development in the manufacturing, supply chain and telecom verticals. Jaideep’s passion lies in building cutting edge technology products and business models while continuously striving to make the same available to the benefit of a broad swath of business and society. Jaideep’s core technology strengths are in cloud computing, big data, IOT, manufacturing and supply chain systems. Jaideep has a combination of technical and business education with a Bachelor of Engineering from NIT Durgapur in India, Master of Business Administration from Jadavpur University in India and Program for Leadership Development from Harvard Business School. During his academic life, Jaideep has written papers on AI and Neural Networks that were published in various IEEE student chapters. Outside of work, Jaideep is passionate about the cause of helping women and children in developing countries through education initiatives. Jaideep has also been mentoring and coaching entrepreneurs and executives across the world to help them realize their goals and be successful. Jaideep published a book in 2016 called ‘Trappings of a Big company’ based on his experiences of working in big companies. As a cloud and technology thought leader, Jaideep has presented to numerous business and technology forums and events across the world and provides technology advisory to business leaders in enterprise companies.