Welcome to my webpage! Here you will find information for my students and private clients (linked above).

My love for mathematics and education began at an early age when I began tutoring my friends in mathematics in 7th grade. This passion lead me to University of Kentucky where I received my Mathematics PhD in 2020. After graduation, I spent three years as an Assistant Professor at the United States Military Academy (West Point). I have since accepted a position at CUNY Baruch College, where I will continue to support students in their mathematics journey!

Throughout my teaching career I have taught a broad range of courses. These include service courses such as college algebra, finite math, probability and statistics, and contemporary math as well as specialty courses in Calculus for Life Sciences, Problem Solving for Elementary Teachers, Linear Algebra, Graph Theory and Real Analysis. I have experience teaching courses with 15-75 students in virtual, hybrid, and in-person classrooms. I have gained experience developing course materials for classes focused on active learning, coordinated courses, and online courses. Additionally, I have taken leadership roles to supervise undergraduate and graduate assistants for multiple courses. My drive to become a better educator and colleague has been recognized through the reception of the College of Arts & Sciences and the Provost Outstanding Teaching awards.

My doctoral research focused on achieving a minimum set of periodic points for maps between tori up to continuous deformation. While at USMA, I have broadened my research to applied mathematics, data science, and statistics. I have joined a multi-discipline team to conduct a meta-analysis  on the effect of beef on various health markers.  This project has been accepted for presentation at the Obesity Week  conference and will appear shortly afterwards. I have active research projects on  analytics  for the competitive video games DOTA 2 and Counter Strike: Global Offensive. These projects are joint with cadets and involve using modern techniques to scrape and analyze data from $50,000$ professional matches using Python and R.