All decks
  • 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

  • Good enough practices in scientific computing

    Kim lab journal club, 2020-06-11

  • Differential privacy

    Guest lecture for Penn BMIN 520-401 course, Spring 2020

  • Climate change on women's health

    Presentation on 2020-03-12 for the journal club, Kim Lab.

  • Information Theory

    Guest lecture for Penn BMIN 520-401 course, Spring 2020

  • Multilocus risk scores

    Presentation on 2020-02-24 at BIOSTEC, Bioinformatics

  • Random walk, Markov chain and Brownian motion

    Guest lecture for Penn BMIN 520-401 course, Spring 2020

  • Supervised learning in R: caret to streamline the model building process

    Presentation on 2019-12-02 at R Ladies Philly Meetup

  • Detect network interactions while controling for confounders

    Presentation on 2019-12-06 at Rocky Mountain Bioinformatics Conference

  • Basic statistics review

    Presentation on 2019-11-14, Moore lab Lunch&Learn

  • Integrate multi-omics data during the first week of life

    Presentation on 2019-09-12 for the journal club, Kim Lab.

  • What's new in TPOT

    Presentation on 2019-07-01, Moore lab Lunch&Learn

  • K99-2019

    Figures presented in my grant proposal.

  • BrainAGE MS

    Presentation on 2019-05-21 for the journal club, Kim Lab.

  • Flash CV

    A 5-minute presentation to briefly introduce my work in joint lab meeting with Li Shen and Yong Chen.

  • TPOT: An Overview

    Presentation on 2019-03-14 at IBI Clinical Research Informatics Core

  • Scalable Automated Machine Learning

    Presentation on 2018-12-21 at AI Therapeutics.

  • i-mab

    Lightning talk on 2018-04-10 for DBEI and CCEB First Annual Research Day.

  • BrainAGE and ibuprofen

  • Manubot

    Presentation on 2018-11-12 for the Moore Lab's Lunch&Learn.

  • Paper discussion: The personal and clinical utility of polygenic risk scores ​

    Presentation on 2018-10-01 for the joint Lunch&Learn between the Moore Lab and Ritchie Lab.