George Cantwell
University Assistant Professor in Innovative Computational Methods
Researches network science, complex systems and statistical inference, especially the computational side such as Monte Carlo methods and model inference for networks.
George Cantwell's lab at Cambridge works on efficient training & inference, learning theory & optimization and probabilistic & causal inference. 3 papers since 2023. Applications close .
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 0%
- PhD students
- 0
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 1 papers2025 · T1 0
- 1 papers2024 · T1 0
- 1 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- Efficient training & inference0 papers
- Learning theory & optimization0 papers
- Probabilistic & causal inference0 papers
- complex systems0 papers
- carlo methods0 papers
Paper list
From the lab homepage.
20251 paper
- Phys. Rev. E 111, 064306Approximation for return time distributions of random walks on sparse networks
20241 paper
- Phil. Trans. R. Soc. A, 382:20230140Valence and interactions in judicial voting
20231 paper
- Phys. Rev. E 108, 034310Heterogeneous message passing for heterogeneous networks
Where alumni went
Alumni are not listed on the lab homepage.
Apply to CambridgeMichaelmas 2027
PhD in Computer Science
- Round
- Funding round (8 Dec 2026)
- Opens
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Confirmed on the program page.
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Data
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- Members
- Lab homepage
- Alumni
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