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  • Posit Conf 2023

  • Modern C Chapter 4—5 Summary

  • Scientific Writing and Publishing

    Talk given at Vin University on 2022-12-09

  • treeheatr and pmlbr: visualizing decision trees on benchmark datasets

    Workshop at RLadies Miami, Nov 19 2020 https://trang1618.github.io/treeheatr https://epistasislab.github.io/pmlb/

  • Key principles for data visualization

    Talk at UNC Institute of Marine Sciences 2021-08-31

  • Tidytext chapter 8

    OCRUG bookclub 2021-04-19

  • Wikidata

    2021-03-26

  • Topic modeling

    OC-RUG book club

  • Tree-based automated machine learning for analyzing biomedical big data

    BMS

  • 4CE missing data analysis

    2020-12-15

  • 3D-MICE

    Kim lab journal club, 2020-12-10

  • pmlbr and treeheatr: visualizing decision trees on benchmark datasets

    Workshop at RLadies Miami, Nov 19 2020 https://trang1618.github.io/treeheatr https://epistasislab.github.io/pmlb/

  • Rocker and binder and renv, Oh My!

    Presentation at Moore lab Lunch&Learn, 2020-10-26

  • Association of COVID-19 and Neurological Phenotypes

    15-min presentation to the 4CE consortium, 2020-10-02

  • treeheatr: an R package for interpretable decision tree visualizations

    15-min show-and-tell at RLadies Philly, Sep 2020 https://github.com/trang1618/treeheatr https://trang1618.github.io/treeheatr/

  • Ensuring Fairness in Machine Learning to Advance Health Equity

    Kim lab journal club, 2020-08-27

  • treeheatr: an R package for interpretable decision tree visualizations

    R/Medicine 2020 lightning talk https://github.com/trang1618/treeheatr https://trang1618.github.io/treeheatr/

  • Take a sad chart and make it better

    Miscellaneous collection of visualizations for academic papers.

  • Analysis of ISCB honorees and keynotes reveals disparities

    Talk at Virtual ISMB 2020

  • Tree-based automated machine learning for analyzing biomedical big data

    Presentation recorded on 2020-06-10 at GECCO, virtual conference