Divya Koyyalagunta

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I’m a third 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 gene regulation. I work on methods that use gradient based learning of discrete objects to learn the history of metastasis in patients’ cancer evolution trees. I like developing easy to use software tools, which is incredibly important in a field that brings together scientists from various backgrounds.

I graduated cum laude from Duke University with a B.S. in Computer Science, 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

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!
Nov 2021 We presented an abstract at MLCB on scGraphReg, a model which learns gene regulation in single cells using multiomics and chromatin interactions.
Jun 2021 Our paper on playing codenames with language graphs and word embeddings is accepted to Journal of Artificial Intelligence Research.
Jun 2019 I presented at Apple’s World Wide Developers’ Conference on new features the HealthKit team developed.

selected publications

  1. 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