Applications in the Physical and Environmental Sciences

Applications in the Physical and Environmental Sciences

Berkeley Statistics faculty study questions in physical sciences ranging from high-energy particle physics and statistical mechanics to cosmology (microwave cosmology, SNIa cosmology), astronomy and astronomical data processing (large-scale inference for optical astronomy surveys, crowded-starfield deblending, galaxy diversity, helioseismology), solid-Earth geophysics (seismology, earthquake risk, geomagnetism, geophysical fluid flow), climate (global circulation models, tropical cyclogenesis, changes in extreme weather events, impact of climate change, climate models in policy contexts), and ecology (soil organic carbon, historical forest carbon, regenerative agriculture, paleoecology, food webs, endangered species).

We collaborate with a broad range of physicists, geophysicists, climate scientists, soil scientists, and astronomers at Berkeley and around the world.


Will Fithian

theoretical and applied statistics


machine learning, variational inference, Bayesian methods, and robustness quantification

Jon McAuliffe

machine learning, statistical prediction, variational inference, statistical computing, optimization

photo of Christopher Paciorek

environmental statistics, statistical computing, spatial statistics, Bayesian statistics

Photo of Fernando Pérez

data science, Educational Data Science, scientific computing

photo of P.B. Stark

uncertainty quantification and inference, inverse problems, nonparametrics, risk assessment, earthquake prediction, election auditing, geomagnetism, cosmology, litigation, food/nutrition

Alexander Strang

Stochastic Processes, Hierarchical Bayesian Inference, Random Graph Theory, Multi-Agent Training, Computational Biology, Solution Continuation, Optimization