I am a machine learning research scientist at Isomorphic Labs, working on AI for drug discovery. Before joining Iso, I did my PhD, under the supervision of Yingzhen Li, at Imperial College London, where I worked on probabilistic machine learning for deep sequence models (e.g., Transformers, HiPPOs, S4), and deep generative models. Prior to that, I obtained my Mphil and BSc (Hons) degree from University of Cambridge (Machine Learning) and McMaster University (Mathematics) in 2020 and 2019, respectively.

Selected Publications

A complete list of publications can be found on my Google Scholar profile.

*equal contribution

Conference

• Wenlong Chen*, Naoki Kiyohara*, Harrison Bo Hua Zhu*, Jacob Curran-Sebastian, Samir Bhatt, Yingzhen Li. Recurrent Memory for Online Interdomain Gaussian Processes. NeurIPS 2025 [link] [code]
• I. Shavindra Jayasekera*, Jacob Si*, Filippo Valdettaro, Wenlong Chen, A. Aldo Faisal, Yingzhen Li. Variational Uncertainty Decomposition for In-Context Learning. NeurIPS 2025 [link] [code]
• Yohan Jung, Hyungi Lee, Wenlong Chen, Thomas Möllenhoff, Yingzhen Li, Juho Lee, Mohammad Emtiyaz Khan. Compact Memory for Continual Logistic Regression. NeurIPS 2025
• Wenlong Chen*, Yegor Klochkov*, Yang Liu. Post-hoc Bias Scoring Is Optimal For Fair Classification. ICLR 2024 (Spotlight) [link] [code]
• Wenlong Chen, Yingzhen Li. Calibrating Transformers via Sparse Gaussian Processes. ICLR 2023 [link] [code]
• Andrew Campbell*, Wenlong Chen*, Vincent Stimper*, Jose Miguel Hernandez-Lobato, Yichuan Zhang. A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization. ICML 2021 [link] [code]

Workshop

• Wenlong Chen*, Wenlin Chen*, Lapo Rastrelli, Yingzhen Li. Your Image is Secretly the Last Frame of a Pseudo Video. ICLR 2025, DeLTa Workshop [link] [code]

Book Chapter

• Wenlong Chen*, Bolian Li*, Ruqi Zhang, Yingzhen Li. Bayesian Computation in Deep Learning. Handbook of Markov Chain Monte Carlo, 2nd Edition (in press, expected 2025/26, refereed chapter) [link]

Activities

Organizer

I have been involved in the organization of the workshop 2nd UNCV at ICCV 2023, and the weekly Computational Statistics and Machine Learning (CSML) Reading Group at Imperial College London

Reviewer

NeurIPS, ICML, AISTATS, TMLR, UNCV

Contact

Feel free to reach out to me at wenlc (at) isomorphiclabs.com