RAC RETAIL AI LAB

The RAC Retail AI Lab enables companies to learn how AI can impact their business by running various experiments. In addition, we undertake other research projects with our faculty and graduate students.

STUDENT TRAINING

There is tremendous retail industry demand for students skilled in AI and analytics. The RAC, with access to many retailers, can secure training sets that would aid students in further developing their skills, as well as equipping them with subject matter expertise to enhance their employment prospects with retailers.

FACULTY INVOLVEMENT

We have access to large retail data sets to support faculty research and publication.

RAC RETAIL AI LAB ADVISORY BOARD

Dr. Larry Birnbaum

Professor of Electrical Engineering and Computer Science, Northwestern University and Chief Scientific Advisor, Narrative Science

Professor of Electrical Engineering and Computer Science, Northwestern University and Chief Scientific Advisor, Narrative Science

Larry Birnbaum received his Ph.D. in computer science from Yale University in 1986 and joined the Northwestern faculty in 1989. His research in artificial intelligence and computer science has encompassed natural language processing, case-based reasoning, machine learning, human-computer interaction, educational software, and computer vision. Birnbaum has authored or coauthored more than eighty articles. He was the program cochair of the 1991 International Machine Learning Workshop and has been a member of the program committee for numerous other conferences and workshops.

Dr. Kristian J. Hammond

Professor of Electrical Engineering and Computer Science, Northwestern University and Chief Scientist and Co-Founder, Narrative Science

Professor of Electrical Engineering and Computer Science, Northwestern University and Chief Scientist and Co-Founder, Narrative Science

Kris is a researcher in the areas of human-machine interaction, context-driven information systems, and artificial intelligence. Kris currently sits on a United Nations policy committee run by the United Nations Institute for Disarmament Research (UNIDIR). Prior to joining the faculty at Northwestern, Kris founded the University of Chicago’s Artificial Intelligence Laboratory. He received his PhD from Yale.

Dr. Diego Klabjan

Professor of Industrial Engineering and Management Sciences, Director, Master of Science in Analytics Program and Director, Center for Deep Learning, Northwestern University

Professor of Industrial Engineering and Management Sciences, Director, Master of Science in Analytics Program and Director, Center for Deep Learning, Northwestern University

Diego Klabjan is a professor at Northwestern University, Department of Industrial Engineering and Management Sciences. He is also Founding Director, Master of Science in Analytics and Director, Center for Deep Learning. After obtaining his doctorate from the School of Industrial and Systems Engineering of the Georgia Institute of Technology in 1999 in Algorithms, Combinatorics, and Optimization, in the same year, he joined the University of Illinois at Urbana-Champaign. In 2007 he became an associate professor at Northwestern and in 2012 he was promoted to a full professor.

His research is focused on machine learning, deep learning and analytics (modeling, methodologies, theoretical results) with a concentration in finance, insurance, sports, and bioinformatics. Professor Klabjan has led projects with large companies such as Intel, Baxter, Allstate, AbbVie, Federal Express, General Motors, United Continental, and many others, and he is also assisting numerous start-ups with their analytics needs. He is also a co-founder of Opex Analytics LLC, an LLamasoft company.

Dr. Han Liu

Associate Professor of Computer Science and Statistics, Northwestern University and Chief Data Science Advisor, PRI.ai

Associate Professor of Computer Science and Statistics, Northwestern University and Chief Data Science Advisor, PRI.ai

Han is a computer scientist and statistician, using computation and data as a lens to explore science and intelligence. His research is focused on nonparametric structure learning and representation learning. Success in this research has the potential to revolutionize the foundation of the second generation of artificial intelligence and push the frontier of the third generation of artificial intelligence. He received his Ph.D. Machine Learning and Statistics from Carnegie Mellon University.

Dr. Edward C. Malthouse

Erastus Otis Haven Professor and Research Director, Spiegel Research Center, Northwestern University

Erastus Otis Haven Professor and Research Director, Spiegel Research Center, Northwestern University

Dr. Malthouse is the Erastus Otis Haven Professor and a research fellow at the Media Management Center, a partnership between Medill and Kellogg. He is also the research director of the Medill IMC Spiegel Research Center. His research interests center on media marketing, database marketing, advertising, new media, and integrated marketing communications. He develops statistical models and applies them to large data sets of consumer information to help managers make marketing decisions. He received his Ph.D. Statistics from Northwestern University.

Dr. Adam Robert Pah

Clinical Assistant Professor of Management and Organizations, Northwestern University and Associate Director, Northwestern Institute on Complex Systems

Clinical Assistant Professor of Management and Organizations, Northwestern University and Associate Director, Northwestern Institute on Complex Systems

Adam Pah is a Clinical Assistant Professor at the Kellogg School of Management and Organizations at Northwestern University. He also serves as the Associate Director of and an Assistant Research Professor at NICO, the Northwestern Institute on Complex Systems. He received his BS from Arizona State University, Ph.D. from Northwestern University, and has worked industrially as a Data Scientist.

His research is largely focused on two different areas: healthcare and conflict. His work in healthcare is focused on innovation adoption and leveraging Electronic Health Records (EHR) data to improve targeting for change management approaches. His research on conflict is split between studying gun violence at schools in the United States and modeling the organizational dynamics of terrorist organizations and the impact of those dynamics on attack lethality and frequency.

Drew Ehlers

Director of Portfolio Management, Zebra Technologies Corporation

Director of Portfolio Management, Zebra Technologies Corporation

Drew is a part of the team that is building the transformative data services strategy and business for Zebra pertinent to the data services platform Savanna. This includes technologies such as artificial intelligence, machine learning, and blockchain.

He has a background in developing and leveraging IoT solutions in manufacturing, retail, and healthcare. He was a member of the team that disrupted the hearing healthcare industry by leveraging technology to drive automation into the manufacturing and supply chain processes. Within the 1,600 retail locations, the team developed an omnichannel strategy to enhance the in-store experience through mobile applications, WLAN, data analytics and sensors.

Dr. Michael L. Thompson

Research Fellow, The Procter & Gamble Company

Research Fellow, The Procter & Gamble Company

Dr. Michael L. Thompson leads technical capability development applying Bayesian Machine Learning in the Procter & Gamble Company, R&D, Data & Modeling Sciences department. His degrees are in Chemical Engineering: B.S., Northwestern University, ’82; M.S., MIT, ’84; and Ph.D., MIT, ’96, with minor in Statistics and Artificial Intelligence.

He has extensive experience in the process industry, having worked for Dow, Alcoa, Amoco, and Mitsubishi Chemical (Japan). Since joining P&G in 1999, Michael has applied his expertise in Bayesian Analysis, especially Bayesian networks, to deliver results spanning business functions including R&D, engineering, manufacturing, marketing, and business analytics. He has authored journal articles ranging from fluidized bed reactors to hybrid probabilistic and first-principles biochemical models to optimal consumer product design.

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