Charlie B. Tan
DPhil Student @ University of Oxford
Hi there! I’m Charlie, a third-year DPhil Computer Science student at the University of Oxford. I’m interested in learned samplers—generative methods for drawing samples from Boltzmann densities. My research is supervised by Prof. Michael Bronstein and Dr. Alex Tong.
I’m currently visiting the Mila - Quebec AI Institute, where I am hosted by Dr. Kirill Neklyudov. Last summer I interned at InstaDeep, working on generative protein sequence modeling.
Prior to Oxford, I studied the MPhil in Advanced Computer Science at the University of Cambridge, graduating with distinction. Whilst in Cambridge my research focused on deep learning theory, and was supervised by Prof. Ferenc Huszár.
[name](dot)[surname]@cs.ox.ac.uk
news
| Sep 25, 2025 | Amortized Sampling with Transferable Normalizing Flows accepted to NeurIPS 2025. |
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| Jul 20, 2025 | Presented Scalable Equilibrium Sampling with Sequential Boltzmann Generators at ICML 2025. |
| Nov 3, 2024 | Preprint - applying techniques developed for my MPhil dissertation to RL. |
| Sep 26, 2024 | On the Limitations of Fractal Dimension as a Measure of Generalization accepted to NeurIPS 2024! |
| May 23, 2024 | Started a research internship at InstaDeep, in the Bayesian Flow Networks team. |
