Joe Guinness

Assistant Professor, Computational Biology

Joe Guinness studies modeling and computational issues that arise in the analysis of large spatial-temporal datasets, with a focus on applications in earth sciences, including soil, weather, and climate. He teaches a graduate course in spatial statistics.

Courses Taught

BTRY 4030: Linear Models with Matrices
BTRY 4030: Linear Models with Matrices
BTRY 4030: Linear Models with Matrices
BTRY 4030: Linear Models with Matrices
BTRY 4030: Linear Models with Matrices
STSCI 4030: Linear Models with Matrices
STSCI 4030: Linear Models with Matrices
STSCI 4030: Linear Models with Matrices
STSCI 4030: Linear Models with Matrices
STSCI 4030: Linear Models with Matrices
STSCI 5030: Linear Models with Matrices
STSCI 5030: Linear Models with Matrices
STSCI 5030: Linear Models with Matrices
STSCI 5030: Linear Models with Matrices
STSCI 5030: Linear Models with Matrices
BTRY 4950: Statistical Consulting
BTRY 7950: Statistical Consulting
STSCI 4950: Statistical Consulting

Contact Information

1178 Comstock Hall
Ithaca, NY 14853

jsg342 [at] cornell.edu

- Personal website

Joe in the news

News

June 22, 2021

Cornell Atkinson awards $1.8 million to fund vital collaborations

Cornell Atkinson has awarded eleven Academic Venture Fund (AVF) seed grants for research by 40 faculty researchers representing eight Cornell colleges and 19 academic departments. The 2021 awards span 11 countries on five continents and many...

Cornell Atkinson
Global Development Section
Statistics and Data Science