Short Bio

Updated as of June 2026:

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, LLM agents, and reinforcement learning, 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 has previously worked on AI research agents with Meta FAIR, and researched ML methods for renewable energy systems with 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.