I’m a PhD candidate in the Graduate Group in Biostatistics at the University of California, Berkeley under the supervision of Professor Sandrine Dudoit. Much of my time is spent developing assumption-lean methods for high-dimensional data analysis. I also frequently collaborate with epidemiologists and biologists, guiding experimental design and analyzing ‘omic data.
PhD in Biostatistics, 2020-present
University of California, Berkeley
MA in Biostatistics, 2018-2020
University of California, Berkeley
BSc in Honours Statistics, 2016-2018
Concordia University
uniCATE implements semiparametric inference procedures for variable importance parameters that assess biomarkers’ treatment effect modification capabilities in high-dimensional clinical trials.
The cvCovEst R package implements a data-adaptive framework for asymptotically optimal covariance matrix estimator selection in high dimensions.
The scPCA R package implements sparse contrastive PCA, a variant of PCA that extracts sparse, stable, and interpretable signal.