Taehoon Ha

Biostatistician

New York, New York, United States
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Summary

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Taehoon Ha is a biostatistician and data scientist based in New York with 7–8 years of experience applying advanced statistical modeling, machine learning, and data engineering to cancer and biomedical research. He has led biostatistics cores and collaborated on multiple NCI-funded grants, translating complex experimental questions into validated analysis plans and scalable pipelines. Taehoon has developed novel methods—including a Bayesian model averaging approach implemented in the BMAseq R package—for differential expression analysis and routinely provides consultation and training to interdisciplinary teams. Comfortable with both hands-on coding and high-level study design, he bridges lab, clinical, and computational stakeholders to ensure reproducible, bias-aware results. Notably, he maintains regular office hours for investigators, reflecting a pragmatic commitment to knowledge transfer and collaborative problem solving.
code7 years of coding experience
job1 year of employment as a software developer
bookMS Quantitative Management, MS Quantitative Management at Duke University
bookMS Biostatistics and Data Science, MS Biostatistics and Data Science at Cornell University
bookBBA with an emphasis on Quantitative Methods, BBA with an emphasis on Quantitative Methods at Sungkyunkwan University
languagesKorean, English
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Stackoverflow

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Github Skills (10)

pathogen10
converter9
markup8
markdown8
commonmark7
pandoc7
haskell7
table-of-contents6
markup-language6
translation5

Programming languages (4)

CSSRHaskellPython

Github contributions (5)

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biostatiz/Biostatistics1

Sep 2018 - Jan 2019

Contributions:136 pushes, 1 branch in 4 months
taehoonh/CSHLbiostat2023

Jul 2023 - Jul 2024

Contributions:45 pushes, 1 branch in 1 year
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