Victor Jose is a professor in the Operations and Analytics area of the McDonough School of Business. His areas of research interest and expertise are decision/risk analysis and forecasting, with a particular focus on the development of prescriptive models and tools that could help managers make good decisions in uncertain environments. In particular, he has worked extensively in the areas of probability elicitation, forecast verification, and expert combination of forecasts. Aside from this, he also has a long-standing interest in data science, Bayesian statistics, stochastic modeling, and machine learning.
His work has appeared in leading academic journals such as Management Science and Operations Research. He also serves as an associate editor at Management Science, Decision Analysis, Theory and Decision, and IISE Transactions. Currently, Professor Jose teaches the core statistics class for the MBA, MiM, and undergraduate business programs. Aside from managerial statistics, he has previously taught classes in quantitative analysis, operations management, research methods, decision making, and spreadsheet modeling.