Blog
Thoughts on statistics, machine learning, data science, and the occasional creative piece.
Why I Chose Statistics Over Computer Science
A look back at the decision that shaped my research career — choosing to study statistics rather than following the more popular path of computer science.
Machine Learning for Healthcare: Lessons from My Research
Key lessons learned from applying ML to medical data problems — what works, what doesn't, and what the textbooks don't tell you.
The Art of Data Visualization in R: Beyond the Default Plots
A practical guide to creating publication-quality visualizations with ggplot2 — including the tricks that make your charts stand out.
Understanding Meta-Learning Architectures for Tabular Data
A beginner-friendly walkthrough of meta-learning concepts, with a focus on stacked generalization and how it applies to tabular prediction problems.
My Journey Writing Academic Papers: From First Draft to Publication
An honest account of the academic publishing process — the rejections, revisions, and eventual success of getting research into print.