Software

I build open-source tools at the intersection of statistics, machine learning, biomedicine, and public health. Below are packages, libraries, and tools I currently maintain or actively contribute to.

scorcher

R
Machine learning
Torch
High-Level API for Torch
Dec 2025

SemiCompDNN

R
Deep Learning
Semi-Competing Risks
EM Algorithm
Deep Learning of Semi-Competing Risk Data via a New Neural Expectation-Maximization Algorithm
Nov 2025

svycdiff

R
Complex Surveys
Controlled Outcome Differences
Propensity Scores
Causal Inference
Estimating Controlled Outcome Differences in Complex Surveys
Jul 2025

pseudoSCR

R
Deep Learning
Semi-Competing Risks
Causal Inference
A Pseudo-Value Approach to Causal Deep Learning of Semi-Competing Risks
Mar 2025

ipd

R
Inference with Predicted Data
Machine Learning
Inference with Predicted Data
Jan 2025

RRmix

R
Batch Effects
Latent Variable Models
Metabolomics
Simultaneous Batch Effect Correction and Analysis in the Absence of Internal Standards
Jun 2017
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