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  • I'm working on novel applications of machine learning and deep learning methods to spatial and spatiotemporal air pollution prediction using satellite imagery.
  • I work with large, irregular spatiotemporal datasets measured and stored as interval data. I developed the R package intervalaverage (now available on CRAN) for aligning and averaging (aka resampling) large amounts of interval data efficiently in R using both data.table and Rcpp. The intervalaverage package is regularly used in production code on 100+ million row tables.

myoung3's Projects

examples-1 icon examples-1

files and instructions for creating and using example containers from the sylabs.io blog

fastreshape_matrix icon fastreshape_matrix

WIP: fast reshaping between long tabular [x,y,v] representation and an m x n matrix V.

future icon future

:rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone

horovod icon horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

nevada_caucus icon nevada_caucus

R code to pre-tabulate second-alignment early votes for all possible first-alignment candidate viability scenarios in a precinct, given a set of ranked-choice votes.

oneapi-ci icon oneapi-ci

Sample configuration files for using oneAPI in CI systems

renv icon renv

renv: Project environments for R.

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