Yunhee Jeong
Data Scientist
Frankfurt, Hesse, Germany
Summary
👤
Senior🎓
Top SchoolYunhee Jeong is a Data Scientist with 10 years of experience applying deep learning and AI to biomedical problems, currently advancing predictive and diagnostic models at Bayer in Frankfurt. She earned a Doctor of Science in Computer Science from the University of Heidelberg and has a strong track record in computational cancer epigenomics, having developed and released MethylBERT — a Transformer-based Python package for tumor DNA methylation pattern identification and early non-invasive cancer diagnosis. Her research spans generative models, graph learning for single-cell integration, and image analysis for tissue microarrays and MRI segmentation, with collaborations across Helmholtz AI, Weizmann Institute, and KU Leuven. Combining rigorous academic training with practical engineering, she routinely benchmarks and packages methods for reproducible biomedical ML, reflecting both publication impact and open-source orientation. An often-overlooked strength is her consistent ability to translate complex multi-omics and imaging research into deployable tools used by interdisciplinary teams.
10 years of coding experience
3 years of employment as a software developer
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at The University of EdinburghDoctor of Science, Computer Science, Doctor of Science, Computer Science at University of HeidelbergBachelor's degree, Computer Science and Engineering, 4.01/4.5 (summa cum laude), Bachelor's degree, Computer Science and Engineering, 4.01/4.5 (summa cum laude) at Hanyang University
Korean, English, German
Github Skills (14)
deconvolution9
bert6
language-model4
segmentation4
semantic3
nlp3
semantic-segmentation3
electra3
tensorflow3
transformer2
natural-language-processing2
pytorch2
linux2
deep-learning2
Programming languages (3)
Github contributions (5)
hanyangii/DilatedSaliencyUNet
Dec 2018 - Feb 2019
Contributions:23 commits, 1 push in 1 month
CompEpigen/SeqDeconv_Pipeline
Oct 2021 - Apr 2022
Contributions:42 commits, 11 pushes in 5 months
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