Katherine Caley

Scientific Programmer in the Huttley Lab at the Australian National University

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Email me at katherine [dot] caley [at] anu [dot] edu [dot] au

Hi :wave: I’m Katherine.

I use statistical and mathematical techniques to extract meaning from biological data, with an interest in microbial communities and mutagenesis – asking how life evolves and adapts at its most fundamental levels.

I’m passionate about making science better for everyone: advocating for open-source, reproducible research, and designing efficient algorithms to reduce the environmental impact of computational science.

I am a core developer and maintainer of cogent3, a Python library with a wide range of tools for the analysis of biological sequence data.

:sparkles: I am actively seeking PhD positions for fall 2025 :sparkles: If my interests align with yours, please feel free to reach out to me!

news

Nov 27, 2024 checkout the blog post on using cogent3 and Plotly to integrate genomic data analyses and visualisations!
Nov 11, 2024 Diverse-Seqs has been submitted to BioRxiv! :muscle:

selected publications

  1. digital-path.png
    A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics
    Danh-Tai Hoang, Gal Dinstag, Eldad D Shulman, and 8 more authors
    Nature Cancer, 2024
  2. Under Review
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    diverse-seq: an application for alignment-free selecting and clustering biological sequences
    Gavin Huttley, Katherine Caley, and Robert McArthur
    bioRxiv, 2024