Writing
Notes on research, methods, and things I wanted to understand better.
2026
Introduction to Bayesian Nonparametric ClusteringHow Dirichlet processes become clustering models through the CRP, stick-breaking, and mixture likelihoods.
statistics · ml
The von Mises–Fisher DistributionA mathematical introduction to directional data, Bessel-function asymptotics, and stable normalization on the hypersphere.
statistics · ml
2025
When Linear Models Outshine the Fancy StuffA reminder that simple ≠ weak.
ml · statistics
Neural Networks, CNNs, RNNs, Transformers, and BeyondA (long) introduction to neural nets, and popular options of CNNs, RNNs, Transformers, and other modern machine learning models
ml · dl
Applying for Predoctoral Positions in Social Sciences and BusinessA brief review of my predoc applications during AY 2024–2025
applications