EMBL @Huber Group
Postdoctoral Researcher
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Bihan Shen
AI for Biology
Heidelberg, Germany
About
I am a Postdoctoral Researcher in Wolfgang Huber's group at the European Molecular Biology Laboratory (EMBL) in Heidelberg, Germany. My research lies at the intersection of deep learning and biology, with a particular focus on tackling challenges in high-content CRISPR screening through innovative computational approaches.
Experience
Education
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Shanghai Institute of Health and Nutrition, CAS Master & PhD
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South China University of Technology Bachelor
Publications
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A disentangled generative model for improved drug response prediction in patients via sample synthesis •
Kunshi Li*, Bihan Shen*, Fangyoumin Feng, Xueliang Li, Yue Wang, Na Feng, Zhixuan Tang, Liangxiao Ma, Hong Li#
Journal of Pharmaceutical Analysis 2024
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Dual-view jointly learning improves personalized drug synergy prediction •
Xueliang Li, Bihan Shen, Fangyoumin Feng, Kunshi Li, Zhixuan Tang, Liangxiao Ma, Hong Li#
Bioinformatics 2024
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Applying machine learning for multi-individual Raman spectroscopic data to identify different stages of proliferating human hepatocytes •
Bihan Shen*, Chen Ma*, Lili Tang, Zhitao Wu, Zhaoliang Peng, Guoyu Pan#, Hong Li#
iScience 2024
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A systematic assessment of deep learning methods for drug response prediction: from in vitro to clinical applications •
Bihan Shen*, Fangyoumin Feng*, Kunshi Li, Ping Lin, Liangxiao Ma, Hong Li#
Briefings in Bioinformatics 2023
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Large-scale pharmacogenomic studies and drug response prediction for personalized cancer medicine •
Fangyoumin Feng, Bihan Shen, Xiaoqin Mou, Yixue Li, Hong Li#
Journal of Genetics and Genomics 2021
Skills
- Python
- R
- Pytorch
- Tensorflow
- LaTeX
- Git
- GitHub