Skip to content
View myoung3's full-sized avatar
9 followers · 13 following

Achievements

Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Achievements

Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Organizations

@kaufman-lab

Block or report myoung3

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
myoung3/README.md

  • 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.

Popular repositories Loading

  1. regionalkrig regionalkrig Public

    R 1

  2. ehbrain ehbrain Public

    Forked from deohs/ehbrain

    Computing Cluster

    Roff

  3. fastreshape_matrix fastreshape_matrix Public

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

    R

  4. nevada_caucus nevada_caucus Public

    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.

    R

  5. data.table data.table Public

    Forked from Rdatatable/data.table

    R's data.table package extends data.frame:

    R

  6. future future Public

    Forked from HenrikBengtsson/future

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

    R