Stuart Urban joined Johns Hopkins Carey Business School as a part-time instructor in 2012 and as a full-time lecturer in 2017. He is currently a senior 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.
Education
- MA, Applied Economics, Johns Hopkins University
- MBA, Finance, Johns Hopkins Carey Business School
- MS, Computer Science, Johns Hopkins Whiting School of Engineering
- BS, Computer Science, University of Iowa
- BS, Mathematics, University of Iowa
- BA, Philosophy, University of Iowa
Teaching
Current
- Empirical Finance
- Non-Linear Econometrics for Finance
- Statistical Analysis
- Computational Finance
- Quantitative Financial Analysis