Computational and Applied Mathematics Initiative (CAMI)

Analyzing and modeling high-dimensional data and handling very large data sets has led to an increased synergy between applied mathematics, statistics, and computation. The history of applied mathematics at the University of Chicago is filled with great names who have made major contributions. Given the strong long-standing interdisciplinary ties the Department of Statistics has always had with other fields of study, it is the natural home for the Computational and Applied Mathematics Initiative (CAMI), which started formally in 2008 and has been growing rapidly ever since. Exciting new faculty hires, engaging seminar series, attracting the best students eager to gain the tools to be the leaders of tomorrow and the innovators of new applications—this is what CAMI is about and what our Department is dedicated to.

We’re glad your interest has drawn you to our website. Explore the CAMI section here and get a taste of what we’re passionate about in Statistics at the University of Chicago.

CAMI Faculty

Mihai Anitescu

Mihai Anitescu

Professor (Part-Time), Department of Statistics; Computational Mathematician, MCS at Argonne National Laboratory

Numerical analysis and optimization


Guillaume Bal

Guillaume Bal

Professor, Departments of Statistics and Mathematics

Applied mathematics, partial differential equations with random coefficients, theory of inverse problems


Jeremy Hoskins

Jeremy Hoskins

Assistant Professor, Department of Statistics

Computational mathematics, physics, numerical analysis


Yuehaw Khoo

Yuehaw Khoo

Assistant Professor, Department of Statistics

Computational mathematics, data science,  and scientific applications


Risi Kondor

Risi Kondor

Associate Professor, Departments of Computer Science and Statistics

Machine learning


Lek-Heng Lim

Professor, Department of Statistics

Computational mathematics


John Reinitz

John Reinitz

Professor, Departments of Statistics, Ecology and Evolution, and Molecular Genetics & Cell Biology

Computational biology


Daniel Sanz-Alonso

Daniel Sanz-Alonso

Assistant Professor, Department of Statistics

Data assimilation, inverse problems and machine learning


Mary Silber

Mary Silber

Professor, Department of Statistics; Director, Committee on Computational and Applied Mathematics (CCAM)

Applied mathematics, dynamical systems, ecology and climate applications


Rebecca Willett

Rebecca Willett

Professor, Departments of Statistics and Computer Science

Machine learning, signal processing, high-dimensional statistics, inverse problems