I have worked with students from a wide variety of majors and graduate programs including biostatistics, statistics, mathematics, economics, operations research, biology, and industrial and labor relations. The most important characteristic for understanding statistics is a desire to learn statistics. As an instructor, I can foster this desire through well-motivated applications. My professional experience in economic consulting and non-profit research have provided me with real-world examples with which I can motivate statistical problems. My education and experiences allow me to teach many statistical courses, spanning introductory statistics for non-math majors to graduate-level studies in mathematical statistics.
Instructor:
Emory University
BIOS 526: Modern Regression (Fall 2018)
BIOS 780R: Advanced PhD Seminar (Spring 2018)
Teaching assistant:
Cornell University
BTRY 6020: Statistical Methods II
BTRY 4030: Applied Linear Statistical Models via Matrices
ORIE 5550: Applied Time Series Analysis
ILRST 5110: Statistical Methods for the Social Sciences II
ILRST 2100: Introductory Statistics
University of California, Berkeley
Biology 1B: General Biology