Cassandra T. Ye

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Hi, I’m Cassandra, and I’m currently a 2nd year Computer Science Ph.D student at Cornell University where I’m advised by Kristina Monakhova. I’m broadly interested in quantifying uncertainty in computational imaging methods for scientific applications.

In a past life, I was an undergraduate at MIT studying Computer Science and Engineering. During my time there, I worked at the Computational Biophotonics Lab headed by Sixian You, working on optimizing computational algorithms for microscopy image reconstruction :test_tube::dna::microscope:

If you’re interested in collaborating or have any questions about my work at all, please don’t hesitate to reach out at cassye@cs.cornell.edu!

news

Jul 19, 2025 QUTCC has just been put on arxiv :hugs: :hugs:
Mar 10, 2025 Learned Uncertainty Quantification is up on Optics Express! :microscope: :partying_face:
Mar 20, 2024 We recieved the best paper award at Photonics West :star2: :partying_face:
Oct 25, 2023 Our paper has finally been arxived :tada: :tada:
Oct 12, 2023 My project was accepted for a talk at SPIE 2024

publications

  1. QUTCC: Quantile Uncertainty Training and Conformal Calibration for Imaging Inverse Problems
    Cassandra Tong Ye, Shamus Li, Tyler King, and 1 more author
    arXiv preprint arXiv:2507.14760, 2025
    Paper Code Website
  2. Learned, uncertainty-driven adaptive acquisition for photon-efficient scanning microscopy
    Cassandra Tong Ye, Jiashu Han, Kunzan Liu, and 4 more authors
    Optics Express, 2025
    🏆 Best Paper Award at SPIE Photonics West 2024🏆
    Paper Code Website
  3. Exact-match search with functional variant prediction enables automated DNA screening
    Dana Gretton, Brian Wang, Rey Edison, and 8 more authors
    bioRxiv, 2024
    Paper Code
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