Jacob Bien


Assistant Professor
Department of Biological Statistics and Computational Biology
Department of Statistical Science
Cornell University

I enjoy working on problems in statistical machine learning and applied statistics, especially developing methods that might be of direct use to scientists or others with large datasets. A particular interest of mine is in using convex optimization to tackle the challenges of high-dimensional data. When I develop a new method, I take a broad approach to its study, considering practical, computational, and theoretical aspects.

New: I have just released the simulator, an R package that streamlines the process of performing simulations by creating a common infrastructure that can be easily used and reused across projects.


  • PhD in Statistics, Stanford University, 2012, advised by Rob Tibshirani.

  • MS in Statistics, Stanford University, 2007.

  • BS in Physics, Stanford University (secondary major in Mathematics), 2006.

Other positions

For CVX users: Here is an R package I wrote to call CVX from R. And for those who prefer Julia to Matlab (but use R primarily), I've written convexjulia, an R package for using Convex.jl.