Biography

I’m currently an Associate in the Healthcare Economics and Outcomes Research practice at the Analysis Group, where I support our clients’ pharmacoepidemiology studies and clinical trial development efforts.

Prior to working in consulting, I completed a PhD in Biostatistics at the University of California, Berkeley under the supervision of Sandrine Dudoit. Much of my time in graduate school was spent developing (causal) machine learning methods for high-dimensional data analysis. I also frequently collaborated with epidemiologists, biologists, and clinicians, guiding experimental design and analyzing ‘omic data. My studies and research were supported by scholarships from the Fonds de recherche du Québec – Nature et technologies and the Natural Sciences and Engineering Research Council of Canada.

I also interned for two years in the Data Science Product Development division at Genentech and Roche during my doctoral studies. While there, I developed theory and methods for heterogeneous treatment effect detection and quantification in clinical trials, contributed to open-source software for analyzing data produced by various longitudinal study designs, and evaluated the operating characteristics of phase I oncology trial designs.