Chris P. Lee Faculty Profile

Chris P. Lee
Assistant Professor of Operations and Information Management

PhD, Stanford University, 2006; MS, Stanford University, 2003; BCom (Hon.), University of British Columbia, 2000

Research Areas
Operations and policy modeling for healthcare; models and algorithms for web search and Internet traffic; computation- and data-intensive models for operations management; machine learning and computational pattern discovery

Recent Consulting
Electronic Scripting Products (Palo Alto, CA), 2006; Tatung Co. of Canada (Toronto), 2006

Current Projects
Incorporating computer models, algorithms and clinical evidence into medical decision-making; cost-effectiveness analysis of medical interventions; society’s willingness-to-pay for medicine and related policy issues; machine learning algorithms for functional and survival data.

Academic Positions Held
Wharton: 2006-present

Other Positions
VP of Quantitative Analytics, Wellnet Inc. (San Francisco), 2006; Fixed-income research, CIBC World Markets (Toronto), 2001; Intern, Jones Heward Investment Counsel Inc. (Toronto), 1998

Career and Recent Professional Awards; Teaching Awards
INFORMS Manufacturing and Service Operations Management Society Student Paper Competition Finalist, 2006; INFORMS Decision Analysis Society Student Paper Competition Finalist, 2005

Representative Publications
(with G.H. Golub and S.A. Zenios)
“A Two-Stage algorithm for computing PageRank and multi-stage generalizations.” Submitted for publication.

(with G.M. Chertow and S.A. Zenios)
“Optimal initiation and management of dialysis therapy.” Submitted for publication.

(with G.M. Chertow and S.A. Zenios)
“Implied societal willingness-to-pay: A normative framework for cost-effectiveness analysis of medical interventions.” Submitted for publication.

(with G.M. Chertow and S.A. Zenios)
“Evaluating the potential effects of frequency and duration of hemodialysis on longevity, cost and cost-effectiveness.” Submitted for publication.

(with G.M. Chertow and S.A. Zenios)
“A simulation model for estimating the cost and effectiveness of alternative dialysis initiation strategies.” Medical Decision Making (2006).