Scholar
Emanuel Tewolde
Google Scholar ID: LpZkIogAAAAJ
Carnegie Mellon University
Citations & Impact
Citations
146
H-index
5
i10-index
3
Publications
11
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Multiple papers accepted to ICML 2025, EC 2025, AAAI 2025, IJCAI 2024, and ICML 2024; received the AAAI 2025 Best Poster Award.
Research Experience
- Currently working as a research engineer at Meta's FAIR (within Meta Superintelligence Labs) on LLM coding agents for AI research; previously worked with the Fraunhofer-Gesellschaft (IEE) on machine learning methods for smarter renewable energy systems.
Education
- Pursuing a PhD at Carnegie Mellon University, advised by Vincent Conitzer; previously completed a master's degree in mathematics at Imperial College London and a bachelor's degree in mathematics at Technical University Darmstadt.
Background
- A fourth-year PhD student in the Computer Science Department of Carnegie Mellon University, with research interests in algorithmic game theory, LLM agents, and reinforcement learning, emphasizing the safety, coordination, cooperation, and alignment of AI systems. Additionally, interested in mathematical optimization, learning in games, computational complexity, and social choice theory.
Miscellany
- Personal website launched; visited the University of Oxford for summer research; presented work on Social Choice for AI Alignment at the Algorithmic Game Theory Group at Google DeepMind in London.
Co-authors