Short Bio

Updated as of December 2025:

Emanuel Tewolde is a fourth-year Computer Science PhD student at Carnegie Mellon University advised by Vincent Conitzer. His research focuses on algorithmic game theory, reinforcement learning, and LLM agents, with an emphasis on the safety, coordination, cooperation, and alignment of AI systems. Ultimately, he strives to understand how to enable artificial intelligence and humans to effectively achieve better social outcomes in strategic interactions.

Emanuel’s work is supported by the Cooperative AI PhD Fellowship, and has previously received the AAAI 2025 Best Poster Award. He is currently a Research Engineer at Meta FAIR working on AI research agents, and has previously researched ML methods for renewable energy systems as an intern at the Fraunhofer-Gesellschaft. Prior to CMU, he completed Master’s and Bachelor’s degrees in Mathematics at Imperial College London and the Technical University of Darmstadt respectively.