Haonan Duan

University of Toronto

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Hi! I am a PhD student in Computer Science at the University of Toronto, where I am fortunate to be advised by Chris Maddison and Nicolas Papernot. My research focuses on developing intelligent systems capable of complex reasoning in the natural sciences. Throughout my research, I have gained extensive experience across multiple stages of AI4Science systems, from data collection to model training and evaluation. Previously, I also worked on trustworthy machine learning and probabilistic methods.

I am actively seeking collaborations and opportunities in both industry and academia. Please feel free to reach out via email!

Recent Papers

  1. scigym.png
    Measuring Scientific Capabilities of Language Models with a Systems Biology Dry Lab
    Haonan Duan, Stephen Zhewen Lu, Caitlin Fiona Harrigan, Nishkrit Desai, Jiarui Lu, Michał Koziarski, Leonardo Cotta, and Chris J Maddison
    preprint, 2025
    arXiv Code Website
  2. protein.png
    Boosting the predictive power of protein representations with a corpus of text annotations
    Haonan Duan, Marta Skreta, Leonardo Cotta, Ella Miray Rajaonson, Nikita Dhawan, Alán Aspuru-Guzik, and Chris J Maddison
    Nature Machine Intelligence, 2025
    PDF
  3. dna.png
    BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model
    Adibvafa Fallahpour, Andrew Magnuson, Purav Gupta, Shihao Ma, Jack Naimer, Arnav Shah, Haonan Duan, Omar Ibrahim, Hani Goodarzi, Chris J Maddison, and others
    preprint, 2025
    arXiv
  4. quantum.png
    Meta-designing quantum experiments with language models
    Sören Arlt, Haonan Duan, Felix Li, Sang Michael Xie, Yuhuai Wu, and Mario Krenn
    preprint, 2024
    arXiv