Divya Koyyalagunta

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”. |
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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. |