Report I
Study of Sparse High-dimensional Regression Algorithms
Examines sparse regression in high-dimensional settings through theoretical analysis and empirical comparison of LASSO, best subset selection, and optimization-based approaches.
Intention
About this page
This page records my mathematical study at Johns Hopkins University from September 2020 to December 2023. While working, I chose to take no more than one course each semester so that I could give each course the time it deserved. I created this page to preserve that experience and share a small collection of reports and academic records that remain meaningful to me.
Selected Work
Reports
Report II
Study of Bayesian Nonparametric Modeling for Causal Inference
Explores causal effect estimation from observational data using Bayesian Additive Regression Trees (BART), combining theoretical study with implementation from scratch.
Report III
Study of COM-Poisson Regression for Count Data
Examines COM-Poisson regression for count data through theoretical study, model diagnostics, and experiments on a new dataset.
Academic Record
Transcript
I have included my transcript because it reflects the structure of my mathematical training and the progress I made over time.
What Comes Next
Study I hoped to continue
After these courses, I still wanted to keep learning. In particular, I hoped to continue with more study in analysis and geometry. However, with other important changes in life, including marriage and a transition in work, I had to stop. Even so, that intention remains part of how I remember this period of study.