- Phd, University of Georgia, 2016 (expected)
Dissertation: The Unbroken Circle: Measurement and Analysis of Corporate Tax and Political Aggressiveness
- BA, University of Pittsburgh, 2009
- Political Science: Business and Politics, Empirical Political Economy, Chinese Politics
- Accounting: Corporate Tax Aggressiveness, Earnings Management
- Research Methods: Bayesian Statistics, Causal Inference, Latent Variable Estimation, Statistical Computing
- Statistical Estimation: OLS, GLM, Bayesian
- Time Series Analysis, Panel Data Analysis, Mixed Models, Survival Analysis
- Multivariate Statistics: PCA, CCA, LDA, Factor Analysis, MDS, IRT, SUR
- Spatial Data Analysis, Causal Inference, Social Network Analysis
- R, Python, SAS, WinBUGS, Stata, Excel, SPSS
- SQL, MongoDB
- Political Science: OLS, GLM, Spatial Data Analysis, Measurement Theory, Causal Inference
- Terry School of Business: Financial Statement Analysis (Accounting), Valuation (Finance), Phd seminar in Accounting and Capital Markets
- Higher Education: Social Network Analysis, Quasi-Experimental Design
- Statistics Department: Time Series Analysis, Statistical Computing, Advanced Statistical Computing (phd seminar), Big Data Analysis (phd seminar), Statistical Consulting, Linear Models, Mathematical Statistics
Political Science Courses
- Studied theory of linear models and generalized linear models, including binary outcome models, count models, ordered models, multinomial models.
Statistics Department Courses
- Financial Statement Analysis: Covered ratios, projections, financial statement analysis. Culminated in joint project to analyze two firms, projecting key financial variables and estimating firm value using Discounted Cash Flow.
- Valuation:Conducted analyses of firms using comparable companies, comparable transactions, discounted cash flow, and leveraged buyout analysis.