Thomas Favata

Intern Title

High-Performance Computing Intern

Education

The University at Albany,
Atmospheric Science

Mentors

Thomas Maxwell

Terms with NCCS

Summer 2018

Role Description
  • Using empirical orthogonal functions of atmospheric modes as a prediction method for El Niño
  • Using sequential neural networks to predict monsoonal rainfall in India using time series data

Poster

Predicting Indian Monsoonal Rainfall Using a Sequential Neural Network on Principal Components of Atmospheric Data

Experience at NCCS

"Working for the NASA Center for Climate Simulation has been a challenging experience that has greatly expanded my knowledge of computer programming and specifically neural networks. Working on this project allowed me to work with neural networks investigating how atmospheric modes can affect specific Atmospheric phenomena. I have thoroughly enjoyed my summer working with Thomas Maxwell and the NASA Center for Climate Simulation."

Bio

Thomas Favata will be pursuing a PhD in Atmospheric Science at The University at Albany this upcoming fall. The focus of his research will be climate change with work on changes in precipitation. Favata graduated from Cornell University in Ithaca, NY, with an Atmospheric Science degree and minor in Physics. Favata has also previously participated in a summer internship with the Northeast Regional Climate Center working on uncovering precipitation changes in the Northeast through time, with a paper that is in the process of being published with Dr. Arthur DeGaetano and Griffin Mooers.