Scholar
Tim Dettmers
Google Scholar ID: lHI3w5kAAAAJ
Allen Institute for AI; Carnegie Mellon University
Citations & Impact
Citations
14,210
H-index
17
i10-index
20
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- 2025 Google ML and Systems Junior Faculty Award
- 2024 AI2050 Early Career Fellow
- 2023 Madrona Prize
- 2023 Google Open Source Award
- 2023 PyTorch Foundation Award
- 2023 Martin & Beate Block Award
- 2021 NeurIPS 2021 Best Reviewer Award
- 2018/2019 Jeff Dean – Heidi Hopper Endowed Regental Fellowship
- 2016/2017 Google Scholarship
Research Experience
- Currently an Assistant Professor at Carnegie Mellon University (CMU) and a Research Scientist at the Allen Institute for Artificial Intelligence (Ai2). Creator and maintainer of bitsandbytes. Research areas include developing the next generation of AI methods and models, particularly agents; making these AI methods and models accessible through research (QLoRA, LLM.int8(), k-bit inference scaling laws, Petals, SWARM) and by developing software (bitsandbytes) that makes it easy to use these research innovations.
Education
- PhD: University of Washington, Advisor: Luke Zettlemoyer
Background
- Research interests include computationally efficient methods, open-source agents, on-device mixture of experts, hierarchical LLM architectures and deployments, scientific automation (including healthcare), and automation with AI. The main research goal is to make AI accessible so that everyone can use it.
Miscellany
- Team members include Eulrang Cho, Trang Nguyen, Vladimir Malinovskii, Christine Park.
- Served as a reviewer for multiple conferences including ICLR (2018-2023), NeurIPS (2019-2023), ICML (2021-2023), ARR (2022-2023), JMLR (2020-2021), IEEE Computational Intelligence Magazine (CIM) (2020), Knowledge and Information Systems (KAIS) (2018)
Co-authors