Carla Gomes is a professor of computer science at Cornell University, with joint appointments in the Dept. of Computer Science, Dept. of Information Science, and the Dyson School of Applied Economics and Management. Gomes obtained a PhD in computer science in the area of artificial intelligence and operations research from the University of Edinburgh. She also holds an MSc in applied mathematics from the University of Lisbon. Her research has covered several areas in artificial intelligence and computer science, including the integration of constraint reasoning, operations research, and machine learning techniques for solving scale constraint reasoning and optimization problems, complete randomized search methods, algorithm portfolios, planning, and scheduling, and multi agent systems. Gomes's central research themes are the integration of concepts from constraint and logical reasoning, mathematical programming, and machine learning, for large scale combinatorial problems; the study of the impact of structure on problem hardness; and the use of randomization techniques to improve the performance of exact (complete) search methods. More recently, Gomes has become deeply immersed in research in the new field of computational sustainability. Gomes is the lead PI of an NSF Expeditions in Computing award on computational sustainability and the director of the newly established Institute for Computational Sustainability at Cornell University. Gomes is a fellow of the Association for the Advancement of Artificial Intelligence.
AEM 4120 - Computational Methods for Management and Economics
AEM 9900 - Doctoral-Level Thesis Research
AEM 2770/CS 2770/INFO 2770 - Excursions in Computational Sustainability
AEM 7900 - Graduate-Level Thesis Research
AEM 7000 - Individual Study in Applied Economics and Management
AEM 4970 - Individual Study in Applied Economics and Management