Bihan Shen

About

Seeking a postdoctoral position in computational biology to leverage my expertise in artificial intelligence. Aiming to contribute to innovative projects at the intersection of deep learning and biology, with a focus on addressing practical challenges in single-cell analysis across modalities.

Education

• Shanghai Institute of Health and Nutrition, CAS Master & PhD

  2020 - Present

• South China University of Technology Bachelor

  2016 - 2020

Publications

• 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

• 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

• 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

• 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

• 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