Dave Connelly

dsconnelly at nyu dot edu

I'm a PhD student at the Center for Atmosphere Ocean Science, part of the Courant Institute of Mathematical Sciences at New York University. My advisor is Ed Gerber.

I'm interested in exploring how our understanding of (geo)physical systems and the (partial differential) equations that govern them can be integrated with machine learning methods to build better models. Currently, I'm working on the DataWave project, developing data-driven parameterizations of atmospheric gravity wave drag for use in climate models.

Before coming to Courant, I received my undergraduate degree in mathematics from Cornell, where I also completed minors in atmospheric science and French. For three years, I was an undergraduate research assisant in Natalie Mahowald's group, studying observations and Earth system model representations of atmospheric aerosols.

During the summers of 2019 and 2020, I interned at the NASA Jet Propulsion Laboratory, where I worked with David R. Thompson (and many others) on uncertainty quantification for the EMIT mission. Our paper in Remote Sensing of Environment on that project can be found here.

Outside of academic life, I'm a musician, a (distinctly average) chess player, and an avid soccer fan. I'm also fascinated by linguistics, especially phonetics and historical reconstruction.