Eniko Székely

Eniko Székely

Sr. Data Scientist
Alumni
(Alumni)

Eniko joined SDSC as a senior data scientist in September 2017. Previously, she was a postdoctoral researcher at the Courant Institute of Mathematical Sciences, New York University, working on machine learning for dynamical systems and climate science. She obtained her PhD in Computer Science from the University of Geneva, Switzerland (2011), her MSc from Telecom Bretagne, France (2006) and her BSc from the University of Timisoara, Romania (2005). Broadly she is interested in machine learning for nonlinear phenomena and high-dimensional data, and more recently she has been working on using machine learning approaches to advance our understanding of the climate.

Projects

DeepCloud

In Progress
A data-driven sub-grid parametrization for complex terrain
Energy, Climate & Environment

EXPECT

EXtending the PrEdiCTability of the Atmosphere over Europe
Energy, Climate & Environment

DASH

Completed
DAta Science-informed attribution of changes in the Hydrological cycle
Energy, Climate & Environment

Publications

Mentioned in

September 27, 2019

"Climate is what you expect, weather is what you get"

"Climate is what you expect, weather is what you get"

While we know for certain that global temperature is rising, other questions still remain surrounded by uncertainty. How strongly will the Earth’s temperature respond to increasing CO2 levels? What changes will happen on regional scales and how strong will they be?

Case Studies

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