Raymond Fan

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I completed my PhD in Physics (2024) at the University of Toronto, studying how biological networks can process information. I currently work as a Research Scientist at a research-focused startup, AI Leap.

My interests lie in understanding why large networks develop internal representations that support generalization. This research can help us build more ‘intelligent’ models that are more in line with our goals, rather than the hard-to-interpret and expensive models of today.

If you have any questions for me, happy to have a chat.

Contact: raymond.fan@alumni.utoronto.ca

selected publications

  1. MNIST_trend.png
    Sharp Minima Can Generalize: A Loss Landscape Perspective On Data
    Raymond Fan, Bryce Sandlund, and Lin Myat Ko
    2025
  2. mi_corr.png
    Characterizing the nonmonotonic behavior of mutual information along biochemical reaction cascades
    Raymond Fan, and Andreas Hilfinger
    Physical Review E, 2024
  3. mirna_figuresmall2.png
    The effect of microRNA on protein variability and gene expression fidelity
    Raymond Fan, and Andreas Hilfinger
    Biophysical Journal, 2023