Coursework

Texas A&M University 2016-2020

Note: 6xx are Graduate Courses, and 489/689 are Special Topics Courses.

STAT 211 | Principles of Statistics I
STAT 212 | Principles of Statistics II
STAT 404 | Statistical Computing
STAT 408 | Introduction to Linear Models
STAT 438 | Bayesian Statistics
STAT 482 | Statistics Capstone
STAT 485 | Directed Studies in Stochastic Processes
STAT 489 | Statistics and Data Science
STAT 491 | Research in Statistics
STAT 610 | Distribution Theory
STAT 611 | Theory of Inference
STAT 612 | Theory of Linear Models
STAT 636 | Applied Multivariate Analysis
STAT 642 | Methods of Statistics II
STAT 689 | Flexible Regression using R
STAT 689 | Statistical Computations
MATH 172 | Calculus II
MATH 221 | Several Variable Calculus
MATH 304 | Linear Algebra
MATH 409 | Advanced Calculus I
MATH 447 | Principles of Analysis II
MATH 615 | Introduction to Classical Analysis (GR)
MATH 689 | Deep Learning: Theory and Applications (GR)
CSCE 110 | Programming I
CSCE 206 | Structured Programming in C

Cornell University 2020-2025

STSCI 6520	Computationally Intensive Statistical Methods
STSCI 6521	Statistical Computing II
STSCI 6610	Spatial Data Analysis
STSCI 6730	Mathematical Statistics I
STSCI 6740	Mathematical Statistics II
STSCI 6750	Probability II for Statistics
STSCI 6780	Bayesian Statistics and Data Analysis
STSCI 6940	Time Series and Spatiotemporal Data Science
STSCI 7170	Theory of Linear Models
STSCI 7180	Generalized Linear Models
STSCI 7951	Advanced Statistical Consulting
MATH 6710	Probability Theory I
BTRY 7950	Statistical Consulting
NS 7030	Seminar in Nutritional Sciences