Teaching
In my teaching, my primary aim is to equip students across different educational stages for STEM careers. In this pursuit, I emphasize statistical computation, reproducible research practices, academic writing and communication skills. I mentor undergraduate students in statistics and data science as part of the Aggie Research Program at Texas A&M University.
Courses Taught at Texas A&M University
Undergraduate
STAT 212 : Principles of Statistics II (Fall '21, Fall '22, Fall '23, Spring '24, Fall '24)
Design of experiments; model building; linear regression; multiple regression; analysis of variance; nonparametric techniques and contingency tables; inference and hypothesis testing.
Graduate
STAT 654 : Statistical Computing with R and Python (Spring '22, Spring '23, Spring '24)
Graduate Level course on computational statistics. Topics include Statistical Learning; Regression Analysis; Classification; Bayesian Models and Computation; Model Selection, Regularization and Non-Linear Regression; Clustering, writing R packages and Python modules.
Courses Taught at UC Santa Cruz (as Graduate Student Instructor)
AMS 7L: Statistical Methods for The Biological, Environmental, And Health Sciences Lab, Instructor (Fall 2018, Spring 2019)
Descriptive methods; interval estimation; hypothesis testing; one- and two-sample problems; correlation and regression; one-way analysis of variance; categorical data analysis.
AMS 7: Statistical Methods for The Biological, Environmental, And Health Sciences, Teaching Assistant (Winter 2016, 2017, 2018, 2019; Spring 2016, 2017, 2018; Fall 2016, 2017)
AMS 5: Statistics, Teaching Assistant (Fall 2015, Summer 2016)