- Ph.D., University of Maryland Baltimore County, 1998
- M.S., Kharkov State University (Ukraine), 1994
- Statistics (Calculus-Based, with R and Algebra-Based, with Excel)
- Applied Statistics (Regression & Time Series) with R
- Precalculus, Calculus I, II and III
- Theory of Interest (for Actuarial Science Concentration)
- Probability Theory
- Differential Equations
- Linear Algebra
- Finite Mathematics (for business, with Excel)
Anna Lurie, Ph.D., has been working for St. Mary’s University since 2002. She is passionate about making mathematics and statistics less intimidating and more enjoyable for her students.
Lurie’s current research interest is statistics for education, but she is particularly interested in improving student assessment and retention.
Together with other Mathematics faculty members, Lurie helped develop an actuarial concentration for Mathematics majors at St. Mary’s. This concentration is a combined mathematics and business degree with applications in insurance. In order to become an actuary, one must take certification exams, so Lurie teaches a preparatory course called Theory of Interest, which prepares students to take Exam FM (Financial Mathematics). Lurie has passed the first two certification exams, Exam P (Probability) and Exam FM.
Lurie brings industry experience to the classroom. Prior to starting her career in academics, she worked as a quantitative analyst for T. Rowe Price Associates and as a statistical consultant for the Psychological Corporation. Lurie completed her studies first in the Ukraine, where she focused on mathematical physics, then in Maryland, where she concentrated on time series. Her dissertation covered change-point problems in auto-correlated data.
Cruz, C., Rajpal G., Lecocke, M., Martines I., Lurie, A. (2019) “Peer Coaching Program Development: A Framework of First-Year Latina/o Student Persistence Pursuing STEM Pathways at a Hispanic Serving Institution”. Journal of Hispanic Higher Education, August 2019.
Lurie, A. and Wagner-Krankel, M. “Placing Students in a Mathematics Course: What Works Best?”. Proceedings of the 41st Annual Meeting of the Research Council on Mathematics Learning, 2014, p. 155-162.
Lurie, A. and Wagner-Krankel, M. “Grade Inflation in a Mathematics Classroom: An Investigation”. Southwest Teaching and Learning Journal, Fall 2013, Volume 3, Number 1, p. 136-144.