Jutong Pan

Education

Ph.D., economics, The University of British Columbia; M.Phil., economics, The Chinese University of Hong Kong; B.A., economics, Peking University

Summary of Experience

Dr. Pan specializes in the application of data science, econometrics, and microeconomics to complex problems in a number of areas, including antitrust and competition, health economics and outcomes research, and telecommunications. His case work experience includes developing cloud-based platforms for large-scale claim procurement in cartel litigation matters; predicting, with supervised learning models, the future onset of underdiagnosed diseases and the duration of chronic conditions; simulating counterfactual outcomes of wireless spectrum and advertisement auctions; and applying natural language processing (NLP) techniques to the identification of topics and sentiments in online reviews of products and to systematic literature review. Dr. Pan has also coauthored a paper on advanced quantitative methods in life cycle economic models in the Review of Economic Dynamics.

Selected Publishing

• Predicting Clinical Remission of Chronic Urticaria Using Random Survival Forests: Machine Learning Applied to Real-World Data

  Dermatology and Therapy, 2022
  2022

  Pivneva I, Balp MM, Geissbühler Y, Severin T, Smeets S, Signorovitch J, Royer J, Liang Y, Cornwall T, Pan J, Danyliv A, McKenna SJ, Marsland AM, Soong W

  HEOR, Epidemiology & Market Access