Yanke Song

yanke.jpg

I am a Machine Learning Engineer at Apple, working on Computer Vision and Generative Models. I previously obtained my PhD from the Department of Statistics at Harvard University, advised by Prof. Pragya Sur, working on high dimensional statistics. I received my Bachelors degree in Applied and Computational Mathematics from Caltech.

I am the president of Lanke, a Chinese werewolf (board game) club.

news

[Fall 2025] I joined Apple full time as a Machine Learning Engineer.
[Summer 2024] Research Scientist Intern at NVIDIA Spatial Intelligence Lab.
[Summer 2023] Applied Research Scientist Intern at Tencent Lightspeed Studios.
[Summer 2022] Quantitative Research Intern at IMC Trading.

selected publications

  1. PPAD.png
    A Poisson Process AutoDecoder for X-ray Sources
    Yanke Song, Victoria Ashley Villar, Juan Rafael Martinez-Galarza, and 1 more author
    arXiv preprint arXiv:2502.01627, 2025
  2. MSD.png
    Multi-student Diffusion Distillation for Better One-step Generators
    Yanke Song, Jonathan Lorraine, Weili Nie, and 2 more authors
    arXiv preprint arXiv:2410.23274, 2024
  3. transfer_interpolator.png
    Generalization error of min-norm interpolators in transfer learning
    Yanke Song, Sohom Bhattacharya, and Pragya Sur
    arXiv preprint arXiv:2406.13944, 2024
  4. HEDE.png
    HEDE: Heritability estimation in high dimensions by Ensembling Debiased Estimators
    Yanke Song, Xihong Lin, and Pragya Sur
    arXiv preprint arXiv:2406.11184, 2024