Applied Statistics

The information technology revolution has advanced data collection capacities in almost all fields of science, social science, engineering, and beyond. The resulting data abundance provides extremely fertile grounds for applied statistics. On one hand, the IT age applied statistics research is challenged by the massiveness of data which makes the fastest computer seem slow and data visulization difficult. On other hand, applied statistics research is also given an unprecedented opportunity to impact old and new fields outside statistics. Our faculty's applied statistics research spans a wide range of such fields including astronomy, geophyscs, remote sensing, AIDS research, genetics and bioinformatics, neuroscience, transportation, computer science, information and data compression, the census, demography and law, the theory of options pricing, and financial statistics. Specifically, our interdisciplinary research can be grouped into four categories:
Physical Science:Animal movement study (David Brillinger) *Astrophysics (Philip Stark)Astronomy (John Rice)Bioinformatics/computational biology (Peter Bickel, Haiyan Huang, Michael Jordan, Nicholas P. Jewell, Juliet P. Schaffer, Terry Speed,Environment risk analysis (David Brillinger, Mark van der Laan)Neuroscience (David Brillinger*, Bin Yu)Genetics (Steven Evans, Terry Speed)Geophysics (Philip Stark)Phylogenetic trees (Steve Evans, Elchanan Mossel)*Seismology (David Brillinger)*
Social Science:Census (David Freedman)Educational technology (Philip Stark, Deborah Nolan)Educational Statistics (Juliet P. Shaffer),Federal Statistical System (Kenneth Wachter)Law and statistics (David Freedman, Philip Stark)Teaching of statistics (Deborah Nolan)
Engineering:Artificial intelligence (Michael Jordan)Computer vision (Peter Bickel)Program debugging (Michael Jordan)*Network tomography (Bin Yu)Remote sensing (Bin Yu)Signal/image processing (Martin Wainwright, Bin Yu)Text Mining (Michael Jordan)*Transportation modeling (Peter Bickel) and applications of functional data analysis and time series analysis to (John Rice)
Other areas:Epidemiology (particularly of infectious diseases, including AIDS and SARS) (Nicholas P. Jewell)Finance (Steven Evans, Noureddine El Karoui*)Medical research (Mark van der Laan)
http://www.stat.berkeley.edu/?id=26#probability

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