Hi,guys!

My name is Ying Wang, you can also call me Emma, which is my English name. I am a 26-year-old first-year Ph.D. student at Medical Bioinformatics, School of Basic Medical Sciences of Peking University Health ScienceCenter. I am fortunate to be advised by Prof. Dongyu Zhao. My research interests focus on machine learning-based virtual drug screening, as well as AI-aided protein design and drug development.

You can find my CV here: Emma’s Curriculum Vitae.

Email / Github

Educational Background

• 2025.09 - Present: Peking University, Medical Bioinformatics, Doctoral Candidate. Major Courses: Cancer Bioinformatics, Omics Big Data Analysis and Utilization, Python Fundamentals for Health Data Science, Molecular Pharmacology, etc.

• 2022.09 - 2025.06: Harbin Medical University, Biomedical Engineering, Master’s Degree. Major Courses: Computational Network Pharmacology, Bioinformatics Software Technology, Next - Generation Sequencing Data Analysis, etc.

• 2017.09 - 2022.06: Harbin Medical University, Biotechnology, Bachelor’s Degree. Major Courses: Bioinformatics, Systems Biology, R Language Programming and Design, Optimization Algorithms, Pattern Recognition, etc.

Scientific Research Papers

1. Ying Wang, Yangguang Su, Kairui Zhao, Diwei Huo, Zhenshun Du, Zhiju Wang, Hongbo Xie, Lei Liu , Qing Jin, Xuekun Ren , Xiujie Chen and Denan Zhang. A deep learning drug screening framework for integrating local-global characteristics: a novel attempt for limited data. doi: 10.1016/j.heliyon.2024.e34244

2. Yangguang Su, Ying Wang, Zhuo Qu, Jiaxin Liu, Xuekun Ren, Denan Zhang and Xiujie Chen. Multi-level characteristics recognition of cancer core therapeutic targets and drug screening for a broader patient population. doi: 10.3389/fphar.2023.1280099