Staff Data Scientist specializing in Bayesian inference, causal inference, and time series forecasting.
- pypkgkit — CLI tool and template for scaffolding production-ready Python packages (PyPI)
- LMT — PyTorch implementation of transformer-based language models (GPT) for pretraining and fine-tuning
- gaussian-process — Bayesian spatial inference with Gaussian processes in R
- variational-inference — Variational Bayes and CAVI algorithms for approximate inference
- NumPyro — PSIS k-hat diagnostics for variational inference (merged)
- sktime — Forecast accuracy metrics from Chen & Yang (2004) (open)
- HuggingFace Evaluate — Label distribution entropy metric (open)
