Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.

Random graph model and mechanism for kidney paired donation (kidney exchanges)

Randomization tests and causal inference in observational studies with staggered adoption of treatment

Causal inference with interference (embedded on a graph).

Code to analyze results from Covid-19 serology tests

Randomization Inference of Periodicity in Unequally Spaced Time Series with Application to Exoplanet Detection.

Causal inference under network treatment entanglement