Emanuel Tewolde

I am a third-year PhD student in the Computer Science Department of Carnegie Mellon University, where I am fortunate enough to be advised by Vincent Conitzer and to be part of the Foundations of Cooperative AI Lab (FOCAL).

My current research interests lie in algorithmic game theory and reinforcement learning. I strive to understand how to enable artificial intelligence and humans to effectively achieve better (social) outcomes in strategic interactions with other agents. The methods I enjoy using include mathematical optimization, complexity theory, learning in games and deep learning.

Prior to CMU, I completed a master’s and bachelor’s degree in mathematics at Imperial College London and the Technical University Darmstadt respectively. In addition to that, I have also worked with the Fraunhofer IEE on machine learning methods for smarter renewable energy systems.

Feel free to reach out to me under emanueltewolde (at) cmu (dot) edu
CV, Google Scholar, DBLP

In below, ‘ - αβ - |’ stands for alphabetical author ordering, and ‘*’ stands for equal contribution.

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