Junhua Chen

Junhua Chen is a quantitative researcher at Jane Street and an MPhil student in computer science at the University of Cambridge (Trinity College), working on generative modelling and machine learning. A former Caulfield Grammar School (Wheelers Hill) student, he won a bronze medal for Australia at the 2020 International Olympiad in Informatics, then studied mathematics and computer science at Cambridge as a Chancellor's Scholar. His research includes sequential controlled Langevin diffusions (ICLR 2025) and flow-based protein design (ICML 2025).

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• Won a bronze medal for Australia at IOI 2020 (score 299.09, ranked 118/343) while a Year 12 student at Caulfield Grammar School (Wheelers Hill), the entry point that put him on Australia's competitive-programming pipeline.Sep 19, 2020
• First author on 'Sequential Controlled Langevin Diffusions' (ICLR 2025) with Lorenz Richter, Julius Berner, Denis Blessing, Gerhard Neumann and Anima Anandkumar - positions him between Cambridge and top sampling/optimal-transport groups.2025
• Now a Quantitative Researcher at Jane Street after interning there, at Optiver and at Caltech - a competitive-programming-to-quant trajectory common among IOI medallists.2025
• Co-authored 'Straight but not so fast: Challenges with Rectified Flows in Protein Design' (ICML 2025 GenBio workshop) with the Cambridge Lio group, showing applied generative modelling in biology.2025
• Runs a personal site under the handle 'anonymous3141' framing his focus as generative modelling - diffusion vs autoregressive vs alternatives, fine-tuning/steering, and model efficiency - a research agenda broader than a typical quant's public footprint.Sep 9, 2025
• Co-authored 'Group Policy Gradient' (CoRL 2025 workshop), extending his work into reinforcement learning.2025
• Studied mathematics and computer science at Trinity College, Cambridge as a Chancellor's Scholar, continuing to an MPhil in Computer Science; previously began at the University of Melbourne.2021
• On Australia's 2020 IOI team alongside Tunan Shi (silver), Quang Ong and Isaiah Iliffe (bronze), with Angus Ritossa as deputy - a cohort that overlaps his later research (Tunan Shi co-authored his 2023 Learning on Graphs paper).Sep 2020
• Tutored at the Australian Maths Trust AIOC school of excellence (a camp for the top 25 Australian Informatics Olympiad students), giving back to the pipeline that produced him.2022
• GitHub account 'anonymous3141' (created 2019, ~15 public repos) hosts mainly his personal-site source; a light public code footprint relative to his research output suggests the work lives in papers rather than open repos.May 12, 2019