Junhua Chen

I enjoy solving problems, especially if they involve math and computers. Currently, I work in machine learning, with a particular emphasis on generative modelling and its applications. Problems that interest me include:
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What are the most effective approaches for modelling different (multi)-modalities of data — diffusion, autoregressive, or more novel alternatives?
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How can generative models be fine-tuned, adapted, and steered to address practical objectives?
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How can we algorithmically improve the efficiency and scalability of generative models?
I completed my studies in mathematics and computer science at Trinity College, Cambridge University. I also work in quantitative finance.
news
Sep 09, 2025 | New Website in development! |
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latest posts
Dec 21, 2020 | On Tree graphs |
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selected publications
- Sequential Controlled Langevin DiffusionsIn ICLR 2025, 2025
- Straight but not so fast: Challenges with Rectified Flows in Protein Design.In ICML 2025 Generative AI and Biology (GenBio) Workshop, 2025