Summary
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.
7 years of coding experience
1 year of employment as a software developer
MS Quantitative Management, MS Quantitative Management at Duke University
MS Biostatistics and Data Science, MS Biostatistics and Data Science at Cornell University
BBA with an emphasis on Quantitative Methods, BBA with an emphasis on Quantitative Methods at Sungkyunkwan University
Korean, English