An aspiring Data Scientist and Statistician.
I am a recent graduate and current Adjunct Faculty member at Kent State University. My current faculty directory can be found here and my academic focus was in Statistics and Probability with broad interests in statistical machine learning.
Some of my work included measure-theoretic topics in Probability such as Martingale theory and Brownian Motion, Statistical Quality Control and Sequential Analysis, Multiple Comparison Methods including False Discovery Rates (FDR and fdr), and Supervised-Learning techniques with a focus towards Regression Analysis.
My Master’s Thesis was on regression methods to induce sparsity, with a focus on non-convex penalties for penalized regression. My thesis can be found here.
M.S. in Applied Mathematics
Kent State University (2019)
B.S. in Mathematics
University of Akron (2017)
Instructor for various Mathematics courses ranging from Algebra to Calculus
Lead the integration of a new course environment for the online Algebra sequences