Prior to coming to Duke, I worked with Aviad Tsherniak on the Cancer Data Science team at the Broad Institue of MIT and Harvard. I contributed to the Cancer Dependency Map and analyzed data from the PRISM profiling method.
As a PhD student, I have continued to work with cancer genomics data, for which I developed a Bayesian tensor model to distill information from several experimental modalities. More recently, I have been working on inference strategies and algorithms for semiparametric models using ideas from optimal transport.
My interests outside of Statistics include:
B.S. in Mathematics with Honors in the Arts, Stanford University, 2015