ANDREW TYLER SORNBORGER
Pilots at Arnold St, Davis, CA

License number
California A4788030
Category
Airmen
Type
Authorized Aircraft Instructor
Address
Address
900 Arnold St, Davis, CA 95618

Professional information

Andrew Sornborger Photo 1

Research Associate And Lecturer At Uc Davis

Position:
Research Associate and Lecturer at UC Davis
Location:
Davis, California
Industry:
Research
Work:
UC Davis since Aug 2010 - Research Associate and Lecturer University of Georgia Aug 2008 - Aug 2012 - Associate Professor University of Georgia - Department of Mathematics and Faculty of Engineering Aug 2003 - Aug 2008 - Assistant Professor Mt Sinai School of Medicine - New York, NY Sep 2001 - Aug 2003 - Research Assistant Professor Mt Sinai School of Medicine - New York, NY Sep 1999 - Aug 2001 - Postdoctoral Fellow Fermilab - Batavia, IL Sep 1997 - Aug 1999 - Postdoctoral Fellow University of Cambridge Sep 1995 - Aug 1997 - Postdoctoral Associate Wang Laboratories, Inc - Lowell, MA Sep 1985 - Aug 1987 - Programmer, International Research and Development
Education:
Brown University 1989 - 1995
PhD, ScM, Theoretical Physics
Dartmouth College 1981 - 1985
AB, Computational Linguistics
Skills:
Physics, Statistics, Mathematics, Applied Mathematics, Mathematical Modeling, Programming, LaTeX, Theory, Analysis, Time Series Analysis, Scientific Computing, Teaching, Simulations, Research, Technical Writing, Mathematica, Science, Data Analysis, Matlab, Fortran, Neuroscience
Interests:
Flying Sailplanes, Rock Climbing, Hiking, Skiing, Sailing, Violin, Piano, Go
Languages:
Chinese, French, German


Andrew Sornborger Photo 2

Methods And Systems For Enhancing Data

US Patent:
2013022, Aug 29, 2013
Filed:
Feb 22, 2013
Appl. No.:
13/774406
Inventors:
ANDREW T. SORNBORGER - DAVIS CA, US
International Classification:
G06K 9/52
US Classification:
382254
Abstract:
Methods and systems for data analysis using covarying data. Eigenvalues and eigenvectors of one or more lagged covariance matrices of data obtained over time may be generated and used to enhance the data.