December 2022 Colloquium

December Colloquium: Decision Making with Data Analytics

With the advent of explosive growth in data and computational power, data analytics has become a central theme for decision-making in business organizations. In this MIDAS colloquium, world-renowned researchers and practitioners will discuss recent advances and latest developments in decision making through data analytics, and their applications. The colloquium will offer an excellent opportunity for researchers and practitioners in data analytics to get together, exchange ideas, and foster research collaborations.

Colloquium Public Lectures: Dec. 9, 8:30 am – 4 p.m.
Johnson Rooms, Lurie Engineering Center

Co-sponsored by: Industrial and Operations Engineering (IOE)

REGISTER TO ATTEND

Colloquium Co-Sponsor

About the Speakers

Susan Murphy

Susan A. Murphy is a Radcliffe Alumnae Professor at Harvard Radcliffe Institute and Mallinckrodt Professor of Statistics and of Computer Science at Harvard John A. Paulson School of Engineering and Applied Sciences. A 2013 recipient of a MacArthur Fellowship, she was previously the H. E. Robbins Distinguished University Professor of Statistics, a research professor at the Institute for Social Research, and a professor of psychiatry, all at the University of Michigan.

Murphy earned her BS from Louisiana State University and her PhD from the University of North Carolina at Chapel Hill. Her research focuses on analytic methods to design and evaluate medical treatments that adapt to individuals, including some that use mobile devices to deliver tailored interventions for drug addicts, smokers, and heart disease patients, among others. She is a member of the National Academy of Medicine and of the National Academy of Sciences.

Jonathan Owen

As the lead executive of GM’s Advanced Analytics COE, Jon oversees innovation, new capability development and business implementation activities in several areas, including revenue management, vehicle content planning and optimization, and market demand modeling. Over a two-decade+ career he has extensive leadership and consulting experience in development and use of new analytic capability. His personal research expertise includes developing new modeling systems, algorithms, and software tools for the analysis and improvement of automotive manufacturing systems and business processes; he was a co-developer of GIDEN, a visualization environment for network optimization, and contributor to the early design of the NEOS Server for Optimization,

Warren Powell

Warren Powell the Chief Analytics Officer of Optimal Dynamics, and is a Professor Emeritus after retiring from Princeton where he served as a faculty member in the Department of Operations Research and Financial Engineering at Princeton University where he has taught since 1981. In 1990, he founded CASTLE Laboratory which spans research in computational stochastic optimization with applications initially in transportation and logistics. In 2011, he founded the Princeton laboratory for ENergy Systems Analysis (PENSA) to tackle the rich array of problems in energy systems analysis. In 2013, this morphed into “CASTLE Labs,” focusing on computational stochastic optimization and learning.

David Simchi-Levi

David Simchi-Levi is a Professor of Engineering Systems at MIT. He is considered one of the premier thought leaders in supply chain management and business analytics. His research, see Data Science Lab, focuses on developing and implementing robust and efficient techniques for operations management. He has published widely in professional journals on both practical and theoretical aspects of supply chain and revenue management.

He was the founder of LogicTools, which provided software solutions and professional services for supply chain optimization. LogicTools became part of IBM in 2009. In 2012, he co-founded OPS Rules, an operations analytics consulting company. The company became part of Accenture in 2016. In 2014, he co-founded Opalytics, a cloud analytics platform company focusing on operations and supply chain intelligence. The company became part of the Accenture Applied Intelligence in 2018.

Schedule

Friday, December 9, 2022

Johnson Rooms, Lurie Engineering Center (3rd floor)

1221 Beal Avenue Ann Arbor, MI (North Campus)

Agenda
Start
End
Registration Check-In and Breakfast
7:30 AM
8:30 AM
Welcome Remarks
8:30 AM
8:45 AM
Keynote 1 - Susan Murphy
8:45 AM
9:35 AM
Keynote 2 - David Simchi-Levi
9:35 AM
10:25 AM
Networking Break
10:25 AM
10:40 AM
Keynote 3 - Jonathan Owen
10:40 AM
11:30 AM
Panel 1: Analytics in Healthcare Management
11:30 AM
12:30 PM
Networking Lunch
12:30 PM
2:00 PM
Keynote 4 - Warren Powell
2:00 PM
2:50 PM
Break
2:50 PM
3:05 PM
Panel 2: Analytics in Mobility and Sharing Economy
3:05 PM
4:05 PM
Reception
4:05 PM
5:30 PM

Details

Welcome Remarks:

  • Alec Gallimore, Robert J Vlasic Dean of Engineering, Arthur F Thurnau Professor, Richard F and Eleanor A Towner Professor of Engineering and Professor of Aerospace Engineering, College of Engineering
  • Brian Denton, Stephen M Pollock Collegiate Professor of Industrial and Operations Engineering, Professor of Industrial and Operations Engineering, Chair, Department of Industrial and Operations Engineering, College of Engineering and Professor of Urology, Medical School
  • H. V. Jagadish, Director of MIDAS; Edgar F Codd Distinguished University Professor and Bernard A Galler Collegiate Professor of Electrical Engineering and Computer Science, College of Engineering

Panel 1: Analytics in Healthcare Management

Moderator – Brian Denton, Stephen M Pollock Collegiate Professor of Industrial and Operations Engineering, Professor of Industrial and Operations Engineering, Chair, Department of Industrial and Operations Engineering, College of Engineering and Professor of Urology, Medical School

Panelists:

  • Wally Hopp, C K Prahalad Distinguished University Professor of Business and Engineering, Professor of Technology and Operations, Stephen M Ross School of Business and Professor of Industrial and Operations Engineering, College of Engineering
  • Susan Murphy, Mallinckrodt Professor of Statistics and of Computer Science, Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University
  • Jenna Wiens, Associate Professor of Electrical Engineering and Computer Science, College of Engineering

Panel 2: Analytics in Mobility and Sharing Economy

Moderator – Jonathan Owen, Chief Scientist for AI/ML and Operations Research, General Motors

Panelists:

  • Henry Liu, Professor of Civil and Environmental Engineering, Research Professor, Engineering Systems, College of Engineering and Mcity Center Director, University of Michigan Transportation Research Institute
  • Warren Powell, Mallinckrodt Professor of Statistics and of Computer Science, Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University
  • Jim Sayer, Professor Emeritus, Princeton University; Chief Analytics Officer, Optimal Dynamics

Contact Us

Questions? Message the MIDAS team: midas-contact@umich.edu