Argonne National Laboratory

Christopher Geoga

Assistant Computational Mathematician

Christopher Geoga received his bachelor's degrees in mathematics and statistics from the University of Chicago in 2016. He is interested in modeling and inverse problems for processes with sophisticated dependence structure across time and space, approximate dense linear algebra and fast algorithms, and spectral domain representations of covariance structure and nonstationarity.

Research interests

Spatial and spatiotemporal statistics
Scientific computing
Integral equationsgrabowsh
State-space models
 

Projects:

MACSER