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Blog Posts

Welcome to my blog, where I share insights, tutorials, and reflections on topics in biostatistics, data science, reproducible research, and statistical computing. Posts range from practical coding guides in R and Python to deep dives into methodology and applied case studies in health research.

Each entry reflects lessons from my academic projects, collaborative research, or tools I’ve developed and tested.

Browse the list of published posts below:

Oscars prediction model February 8, 2020
`metalr`-likelihood ratio meta-analysis package July 29, 2018
Image Completion with Deep Learning in TensorFlow August 9, 2016
OpenFace 0.2.0: Higher accuracy and halved execution time January 19, 2016