Code
Research software accompanying work in conformal inference, scientific machine learning, climate-model evaluation, and functional data analysis.
Python
flowcp
Flow-based conformal predictive distributions for sampling and representing complex conformal prediction regions.
LSCI
Locally adaptive, function-valued conformal inference for neural operator models.
confensemble
Conformal ensembles for calibrated uncertainty quantification in climate projections.
SCWD
Spherical convolutional Wasserstein distance for distributional evaluation of global climate models.
R
fmci
Functional multiple changepoint isolation for detecting changes in functional data sequences.
elasticdepth
Elastic depth for shape-aware functional outlier detection.
kstat
Kolmogorov-depth tests for differences between functional distributions.
extdepth
Extremal depth methods for functional data.
See additional and in-progress projects on my GitHub profile.