Divya Koyyalagunta

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I’m a fifth year Computational Biology PhD Student at the Tri-Institutional PhD program (Cornell University/Weill Cornell + MSK Cancer Center + Rockefeller University) and NSF GRFP Fellow. I am in the Quaid Morris Lab where I develop machine learning methods to better understand cancer evolution and metastasis.

I graduated cum laude from Duke University with a B.S. in Computer Science and minor in Neuroscience, where I worked on interesting problems in NLP, was a teaching assistant for numerous computer science courses, and was captain of a dance team. After graduating I spent three years at Apple developing health software.

news

Dec 2025 Our paper on Inferring cancer type-specific patterns of metastatic spread was published in Nature Methods.
Oct 2025 I was named a Three Minute Thesis Finalist.
Jul 2023 I was awarded the Best Poster Award at the ICML Computational Biology Workshop for our work “Gradient-based Migration History Inference of Metastatic Cancers”.
Apr 2023 I was awarded the NSF GRFP Fellowship!
Jun 2021 Our paper on Playing codenames with language graphs and word embeddings is accepted to Journal of Artificial Intelligence Research.

selected publications

  1. Inferring cancer type-specific patterns of metastatic spread using Metient
    Koyyalagunta, Divya, Ganesh, Karuna,  and Morris, Quaid
    Nature Methods 2025
  2. Playing codenames with language graphs and word embeddings
    Koyyalagunta, Divya, Sun, Anna,  Draelos, Rachel Lea and 1 more author
    Journal of Artificial Intelligence Research 2021