Cassandra T. Ye

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Hi, I'm Cassandra, and I'm currently a 3rd year Computer Science Ph.D student at Cornell University where I'm advised by Kristina Monakhova. I'm broadly interested in machine learning methods to quantify uncertainty for inverse problems, with applications in scientific imaging and medical diagnosis.

This summer, I was an with the NextCam team at Adobe, led by Marc Levoy!! 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:

You can find my cv here and 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

Nov 1, 2026 I received the AI4S NSF Fellowship for Spring 2027! :star2:
Sep 24, 2026 QUTCC was accepted to NeurIPS 2026! :tada: :tada:
May 11, 2026 I started my internship with the Nextcam team at Adobe! :camera:
Jul 19, 2025 QUTCC has just been put on arxiv :hugs: :hugs:
Jun 11, 2025 Gave a spotlight presentation at CVPR for the UQ in Vision Workshop
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

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Publications

  1. Cassandra Tong Ye, Shamus Li, Tyler King, and 1 more author
    arXiv preprint arXiv:2507.14760, 2025
  2. Cassandra Tong Ye, Jiashu Han, Kunzan Liu, and 4 more authors
    Optics Express, 2025
    🏆 Best Paper Award at SPIE Photonics West 2024🏆
  3. Exact-match search with functional variant prediction enables automated DNA screening
    Dana Gretton, Brian Wang, Rey Edison, and 8 more authors
    bioRxiv, 2024