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 prescriptive 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.

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.

Recent News:

• I helped co-organize the workshop "Applied Math in Statistics and Data Science Education" hosted by ICERM.
• Students Benjamin Moshes and Nico Fernandez Baigun completed an analysis looking at the impact of the Washington Bridge closure on bus ridership. Read their report!
• I received a Data Science Seed Grant for my work with RIPTA.
• Congratulations to Hannah Eglinton for receiving the Masters Thesis Award! Hannah's thesis work is available in the R riskscores package.
• My book Mastering Health Data Science Using R is now available.

• CV

Contact Me.