Jonathan Weare

Assistant Professor

Department of Statistics,
James Franck Institute, and the college, The University of Chicago



Department of Statistics,

The University of Chicago
5734 S. University Avenue
Chicago, Illinois 60637

 

Publications and Software                People



Other affiliations

University of Chicago Computational and Applied Mathematics Initiative (CAMI)
Computation Institute
University of Chicago Numerical Analysis Group
NSF Center for Multiscale Theory and Simulation


Current research interests
I make use of tools from probability theory, the theory of partial differential equations, and numerical analysis, to analyze interesting physical phenomena and to design, analyze, and apply new computational techniques to study challenging problems arising in the physical sciences and engineering. My current application areas of interest include the dynamics of crystal surfaces, molecular simulation problems in chemistry and bio-chemistry, power systems, extreme climate and weather events, and geophysical data assimilation.


Recent History
I am currently an assistant professor and part of the Computational and Applied Mathematics Initiative (CAMI) in the Department of Statistics at the The University of Chicago. I am also an assistant professor in the James Franck Institute.  Before joining the Statistics Department I was an assistant professor in the Department of Mathematics at the University of Chicago.  Before moving to Chicago I was a Courant Instructor of mathematics at NYU and a PhD student in mathematics at the University of California at Berkeley.


Applied Mathematics at the University of Chicago
The Computational and Applied Mathematics Initiative (CAMI) launched in 2008 in the Department of Statistics as an effort to extend the department's range of research interests to include computational and applied mathematics. The Department of Statistics is now home to a growing faculty in computational and applied mathematics with research interests currently spanning numerical analysis, applied probability, machine learning, and computational biology and neuroscience.  CAMI is also complemented by related programs in the Computer Science and Mathematics Departments.  Students interested in conducting research in computational and applied mathematics with CAMI faculty should apply to the graduate program in the Department of Statistics here.