Jaycee Choi
Predoctoral Associate - Kumar Lab
Bar Harbor, Maine, United States
Summary
👤
Senior🎓
Top SchoolJaycee Choi is a predoctoral associate and PhD candidate at The Jackson Laboratory applying machine learning and computer vision to quantify homeostatic mouse behaviors such as feeding and drinking. With 11 years of research experience spanning computational genomics and behavioral quantification, Jaycee blends statistical modeling of NGS and single-cell data with practical Python/R pipelines. Earlier work at La Sierra University produced first-author bioRxiv publications cataloguing SINE insertions in dogs and revealed SINE-driven polyadenylation in 3'UTRs, highlighting a knack for extracting biological insight from public genomic resources. Based in Bar Harbor, Maine, Jaycee combines rigorous mammalian genetics training with hands-on algorithm development to translate complex datasets into reproducible biological phenotypes. Colleagues note an ability to move seamlessly between statistical theory and applied computer vision, making them effective at bridging analytics and experimental labs.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Mammalian Genetics at JAX, Doctor of Philosophy - PhD, Mammalian Genetics at JAX at Tufts UniversityBachelor of Science - BS, Biology: Biological Sciences, Bachelor of Science - BS, Biology: Biological Sciences at La Sierra University
Github Skills (28)
genome10
expectation-maximization10
rna-seq10
gene-expression9
bioinformatics9
genomics9
expression8
variational-autoencoder8
algorithm8
preprocess7
hierarchical7
autoencoder7
ase7
cpp6
tsne6
Programming languages (5)
Github contributions (5)
kbchoi-jax/PoolClass
Nov 2018 - Dec 2019
A versatile python framework for single-cell sequencing data analysis
Contributions:84 commits, 105 pushes in 1 year 1 month
data-analysispythonsequencing
churchill-lab/scRATE
Jan 2020 - Aug 2020
Contributions:72 commits, 56 pushes, 1 branch in 6 months
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