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Kuanhao-Chao/README.md

Hi, I'm Kuan-Hao Chao

I am a Senior Deep Learning Scientist & Engineer at the Illumina AI Lab. I build machine learning methods and open-source software for genomics, with work spanning DNA language models, RNA splicing and variant-effect prediction, sequence-to-function modeling, genome annotation, and pangenome algorithms.

I earned my Ph.D. in Computer Science from the Center for Computational Biology at Johns Hopkins University, advised by Steven Salzberg and Mihaela Pertea. My research and software include Shorkie, OpenSpliceAI, Splam, LiftOn, Han1, the Wheeler Graph Toolkit, and sangeranalyseR; for publications, software, blog posts, CV, and contact links, visit khchao.com.

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  1. calico/shorkie-paper calico/shorkie-paper Public

    Data processing and analyses related to regulatory sequence prediction in yeast.

    Python 11 3

  2. OpenSpliceAI OpenSpliceAI Public

    🤖 Open‑source deep-learning-based splice‑site predictor that decodes splicing patterns across species

    Python 46 14

  3. LiftOn LiftOn Public

    🚀 LiftOn: Accurate annotation mapping for GFF/GTF across assemblies

    Python 124 11

  4. splam splam Public

    ✂️ Deep learning-based splice site predictor that improves spliced alignments

    C++ 61 5

  5. roblanf/sangeranalyseR roblanf/sangeranalyseR Public

    functions to analyse sanger sequencing reads in R

    R 105 28

  6. Wheeler_Graph_Toolkit Wheeler_Graph_Toolkit Public

    🔎 wheeler graph recognition algorithm, visualization and generation

    C++ 21 1