I am an Assistant Professor of Biostatistics at Brown University interested in algorithms, optimization, data science, and education. My research has focused on the design and analysis of optimization algorithms underlying machine learning with recent applications to clustering, variable selection, risk models, and bike-share or other shared mobility systems. I also enjoy thinking about predictive analytics: how data informs our future decisions.
Prior to joining Brown, I was an Assistant Professor of Applied Math and Computer Science at Olin College of Engineering. Before that, I was a Postdoctoral Research Associate in the Data Science Initiative at Brown University, advised by Professor Pedro Felzenszwalb. I completed my PhD in the Department of Operations Research and Information Engineering at Cornell University, advised by Professor David Williamson, and I received my Bachelor of Science in Mathematics from Harvey Mudd College, where my undergraduate thesis adviser was Professor Susan Martonosi.
Research Opportunities: If you are a current student at Brown and are interested in thesis or research opportunities, please email with a CV and your coursework in statistics, applied math, and computer science.
My new R resource Mastering Health Data Science Using R is now available.