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

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.