I am a PhD candidate in the Graduate Group in Biostatistics at the University of California, Berkeley under the supervision of Professor Sandrine Dudoit. My primary research interests are the development and application of non- and semiparametric methods for the analysis of high-dimensional data. I also collaborate with epidemiologists and biologists, guiding experimental design and analyzing genomic 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.