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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 |