Spencer Hill
Computer Science PhD Student @ UofT
Hi there! I’m Spencer Hill, a first-year computer science PhD student at the University of Toronto and the Vector Institute, supervised by Chris Maddison and Murat Erdogdu. My research aims to understand and improve modern deep learning systems. Recently, I have been thinking about fundamental questions in pretraining, especially around tokenization and scaling laws.
Previously, I completed my MASc degree in mathematics at Queen’s University under the supervision of Fady Alajaji and Tamás Linder. There, I worked on data compression and information theory, in particular the problem of channel simulation/relative entropy coding. Further back, I hold a BASc (Engineering) degree from Queen’s University, where I studied Mathematics and Engineering.
My email is [firstname] @ cs.toronto.edu.
news
| Sep 2026 | Started my PhD in computer science at the University of Toronto and the Vector Institute, supervised by Chris Maddison and Murat Erdogdu. |
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| July 2026 | Defended my master’s thesis at Queen’s University! |
| Jun 2026 | Our paper Singular Relative Entropy Coding with Bits-Back Rejection Sampling was selected as a Spotlight at the Learn to Compress & Compress to Learn Workshop @ ISIT 2026. |
| Mar 2026 | I am visiting Gergely Flamich for the next two weeks at Imperial College London. |
| Feb 2026 | Our paper Communication Complexity of Exact Sampling under Rényi Information was accepted to IEEE Transactions on Information Theory! |
| Oct 2025 | I am visiting Gergely Neu at UPF Barcelona for the next six weeks. |
selected publications
- Information Theory Workshop, 2026
- IEEE Transactions on Information Theory, 2026
- Journal of Molecular Spectroscopy, 2023