Stuart Urban

Stuart Urban, MS, MA, MBA

Academic AreaFinance
Areas of InterestQuantitative Methods in Finance, Healthcare Finance and Economics, Machine Learning/Data Science, Derivatives, Econometrics

Stuart Urban (MS: Computer Science, Johns Hopkins Whiting School of Engineering; MA: Applied Economics, Johns Hopkins Krieger School of Arts & Sciences; MBA: Johns Hopkins Carey Business School) joined the Johns Hopkins Carey Business School as a part-time instructor in 2012 and as a full-time Lecturer in 2017. He is a Lecturer with a specialty in Quantitative Methods in Finance, Machine Learning and Data Science. He previously worked as a software engineer and data scientist at Lockheed Martin, specializing in healthcare analytics, and as a technology analyst at the Federal Reserve Board, specializing in high-performance computing and natural language processing. 


  • MA, Applied Economics, Johns Hopkins University
  • MBA, Finance, Carey Business School - Johns Hopkins University
  • MS, Computer Science, Whiting School of Engineering - Johns Hopkins University
  • BS, Computer Science, University of Iowa
  • BS, Mathematics, University of Iowa
  • BA, Philosophy, University of Iowa



  • Empirical Finance
  • Non-Linear Econometrics for Finance
  • Statistical Analysis
  • Computational Finance
  • Quantitative Financial Analysis