Summary
Seunghee Hong is an Associate Professor and molecular biology researcher with 11 years of professional experience translating high-dimensional genomic data into biological insight. Trained at Case Western Reserve University (PhD) and Yonsei University (BS), she combines hands-on lab expertise in single-cell RNA-seq, microarray and flow cytometry with strong computational skills in R, Python, SAS and machine learning. Her career spans research and teaching roles at Yonsei University, Weill Cornell Medicine and Baylor Health Care System, where she has applied linear mixed models, pathway analysis and GSEA to complex datasets. Based in Seoul, she is known for bridging wet-lab and bioinformatics workflows to deliver reproducible analyses and for mentoring the next generation of translational scientists. An analytical educator by trade, she often integrates applied statistics into experimental design to tighten inference from noisy single-cell data.
11 years of coding experience
Doctor of Philosophy (PhD), Molecular Biology, Doctor of Philosophy (PhD), Molecular Biology at Case Western Reserve University
Bachelor of Science (BS), Biochemistry, Applied Statistics, Bachelor of Science (BS), Biochemistry, Applied Statistics at Yonsei University