Software

Selected research software and reproducible implementations.

Selected implementations accompanying my methodological research. For a full list of public repositories, see my GitHub profile.

Meta Fusion

Software for a model-agnostic framework that unifies early, intermediate, and late multimodal fusion through adaptive mutual learning among a cohort of models.

PythonJupyterMultimodal data integration

Structured Conformal Inference for Matrix Completion

Python package and experiment code for constructing joint prediction regions in matrix-completion and group-recommender settings.

PythonJupyterConformal inference

Conformalized Early Stopping

Implementation of conformalized early stopping, which reuses an early-stopping holdout set for conformal calibration while retaining finite-sample guarantees.

PythonPyTorchUncertainty quantification

LASLA

R implementation of locally adaptive structure learning for large-scale multiple testing with auxiliary or network information.

RMultiple testingData integration

Integrative Conformal Inference for Out-of-Distribution Testing

Python implementation of conformal out-of-distribution testing that incorporates labeled outliers and controls the false discovery rate.

PythonOut-of-distribution testingFDR control