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Simplifying problems, one model at a time.
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Simplifying problems, one model at a time.

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aya49/README.md
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Hi! I'm Alice Yue, a researcher @Metafora.

I recently got my PhD in computing science @SFU (CGPA: 4.33/4.33). Previously, I recieved my MSc @SFU (CGPA: 4/4.33) and my BSc with distinction @UVic (CGPA:8.7/9.0) in the beautiful city of Victoria.

Research interests:

  • I develop machine learning, data mining methods, and statistical metrics to analyze high-dimensional and graph structured data ⭐.
  • In computational biology, I have applied my methods on flow cytometry ❤️, scRNAseq, and DNA sequence data.

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  1. flowGraph flowGraph Public

    Accurately selects cell populations features that differentiate between flow cytometry sample classes by removing top-down dependency between features modelled on a lattice.

    R 1

  2. fingerprint_liveness fingerprint_liveness Public

    Compares several different machine learning models and statistical features to predict the liveness of the fingerprint biometric.

    Python 18 11

  3. ai4all2018_bio ai4all2018_bio Public

    Infers the infection pathway of the influenza virus using various sequence and tree statistics: created for the bioinformatics project @ 2018 invent the future, SFU

    HTML

  4. ai4all2019_bio ai4all2019_bio Public

    Uses RNAseq data and various feature extraction & machine learning algorithms to predict human gestational age.

    HTML 1 1

  5. omics_asthma omics_asthma Public

    Analysis of blood-based omics data to identify biomarkers related to early and dual asthmatic response.

    HTML 1

  6. salmon_phylogeny salmon_phylogeny Public

    Uses Bayesian phylogenetic inference and graph-based tree shape algorithms to build separate and consolidated ancestral trees of salmonoid fish

    Python