Stuart Urban, MS, MA, MBA
Lecturer
| Academic Area | Finance |
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| Areas of Interest | Quantitative Methods in Finance, Healthcare Finance and Economics, Machine Learning/Data Science, Derivatives, Econometrics |
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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.
Education
- 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
Teaching
Current
- Empirical Finance
- Non-Linear Econometrics for Finance
- Statistical Analysis
- Computational Finance
- Quantitative Financial Analysis