Skip to main content
Carla Gomes

Carla P. Gomes

gomes at cs.cornell.edu
Professor and Director
Institute for Computational Sustainability
CV

Home

I am a Professor of Computer Science and the director of the Institute for Computational Sustainability at Cornell University. My research area is Artificial Intelligence with a focus on large-scale constraint-based reasoning, optimization, and machine learning. Recently, I have become deeply immersed in the establishment of new field of Computational Sustainability.

Computational Sustainability is a new interdisciplinary research field, with the overarching goal of studying and providing solutions to computational problems for balancing environmental, economic, and societal needs for a sustainable future. Such problems are unique in scale, impact, complexity, and richness, often involving combinatorial decisions, in highly dynamic and uncertain environments, offering challenges but also opportunities for the advancement of the state-of-the-art of computer and information science. Work in Computational Sustainability integrates in a unique way various areas within computer science and applied mathematics, such as constraint reasoning, optimization, machine learning, and dynamical systems. Concrete examples of computational sustainability challenges range from planning and optimization for wildlife preservation and biodiversity conservation, to poverty mapping, to combining (deep) data-intensive learning with inference, reasoning, and optimization to accelerate the discovery of new renewable materials such as solar fuels.

Contact Information

Dept. Computer Science
353 Gates Hall
Cornell University
Ithaca, NY 14853 USA

Faculty of Computing and Information Science
Dept. Information Science
Dyson School of Applied Economics and Management

607-255-9189 (voice); 607-255-4428 (fax)
gomes at cs.cornell.edu
http://www.cs.cornell.edu/gomes

Additional contact

Administrative Coordinator: Christianne White
Email: cmw84 at cornell.edu
Tel.: 607-255-1101
Office: 340 Gates Hall