Recent Publications

Covariance matrices play fundamental roles in myriad statistical procedures. When the observations in a dataset far outnumber the …

The covariance matrix plays a fundamental role in many modern exploratory and inferential statistical procedures, including …

Statistical analyses of high-throughput sequencing data have re-shaped the biological sciences. In spite of myriad advances, recovering …



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.


University of California, Berkeley

  • The Foundations of Data Science, Data 8 (Summer ‘20) – Instructor
  • Statistical Analysis of Categorical Data, PBHLTH 241 (Spring ‘20) – Graduate Student Instructor
  • Principles and Techniques of Data Science, DATA 100 (Spring ‘19, Fall ‘19) – Graduate Student Instructor
  • Introduction to Probability and Statistics in Biology and Public Health, PBHLTH 142 (Fall ‘18) – Graduate Student Instructor



Data Science Intern

Genentech / Roche

May 2021 – Present Remote
Develop flexible, interpretable approaches for predictive biomarker discovery, and benchmark them against competing methods. Implement a swimmer plot function in R for efficiently summarizing Phase I clinical trial data.

Graduate Student Researcher

University of California, Berkeley Superfund

Aug 2020 – Present Berkeley, CA, United States
Analyze data collected by the organization’s environmental health scientists and epidemiologists to better understand the effects of chemical exposures on human health. This is accomplished through the development and application of novel statistical methods.

Instructor, Data 8: The Foundations of Data Science

University of California, Berkeley

May 2020 – Aug 2020 Berkeley, CA, United States
Taught foundational concepts in statistics and computer science to over 400 students while managing a team of teaching assistants.

Graduate Student Intern

Sutter Health - Research, Development and Dissemination

Jun 2019 – Aug 2019 Walnut Creek, CA, United States
Developed a statistical learning pipeline to evaluate a patient’s risk of becoming septic during their hospital visit.

Undergraduate Summer Researcher

Concordia University

May 2017 – Sep 2017 Montreal, QC, Canada
Developed an exploratory data analysis method for high-dimensional network data under the supervision of Dr. Lea Popovic and Dr. Lisa Kakinami. The method was applied to the the Quebec Adipose and Lifestyle Investigation in Youth cohort data to explore potential associations between social networks and lifestyle behaviours related to youth obesity.

Research Assistant

Canadian Longitudinal Study on Aging, Statistical Analysis Center

Jun 2015 – Jul 2018 Montreal, QC, Canada
Worked with biostatisticians, data curators and data access managers on various projects, including the development of an R package to facilitate analysis of proprietary data, the creation of software to verify accuracy of survey responses, and the creation of a public-use dataset.