New Faculty Seminar Series - Antoine Sauré
Thursday, January 26, 2017, 12:00 p.m. to 1:00 p.m.
This seminar series was launched by the Telfer School of Management Research Office to promote its new professors. It represents an excellent opportunity for professors, students and community members to meet new faculty and to learn more about their research programs.
Please join us for a presentation by Antoine Sauré: Improving Access to Care through Enhanced Advance Patient Scheduling.
The seminar will discuss the development of capacity allocation methods based on approximate dynamic programming techniques as a systematic way of identifying effective booking guidelines for advance patient appointment scheduling problems. The main purpose of these methods is to reduce patients' wait times in a cost-effective manner. A particular focus will be on solution approaches and their challenges. Two applications based on British Columbia Cancer Agency operations will be reviewed.
A light lunch will be served.
- Thursday, January 26, 2017
- 12:00 p.m. to 1:00 p.m.
- Telfer School of Management
55 Laurier Avenue East
Ottawa, Ontario K1N 6N5
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About Antoine Sauré
Antoine Sauré completed his Ph.D. in Management Science at the University of British Columbia (UBC) in 2012 and received his M.Sc. degree in Operations Management and his professional degree in Industrial Engineering from the University of Chile in 2002. He has over ten years of experience developing, implementing and applying advanced analytics techniques to large-scale, real-world business problems in several industries, including mining, forestry and health care. His expertise lies in the development of advanced capacity planning and scheduling techniques. He has recently worked with the British Columbia Cancer Agency on numerous patient scheduling projects as well as other projects aimed to provide timely access to quality cancer care. He has previously held academic positions at UBC and at the University of Chile.
His main research interests include advanced modeling and decision-making under uncertainty and their applications to large-scale problems in service operations. In particular, the study of resource allocation problems in health care and other areas.