Haodong Xu, PhD became an assistant professor at the School of Biomedical Informatics (SBMI) on October 1, 2021. Previously, Dr. Xu was a postdoctoral research fellow in the Department of Bioinformatics and Computational Biology at MD Anderson Cancer Center (10/2020-09/2021) and SBMI (10/2019-10/2020). Xu received his Ph.D. in biomedical engineering from Huazhong University of Science and Technology in 2019.

His current research focuses on developing methods to unveil the hidden biological circuitries underlying the data, from understanding sequence-based regulations to the genomes or proteome and their impacts to diseases, including: (i) Decoding genomic sequence to decipher connections between sequence, functions, and phenotypes, especially leveraging sequence data and deep learning models; (ii) Developing new approaches for prioritizing actionable mutations characterized tumorigenesis; (iii) Multi-omics data analysis and tumor neoantigens prediction for immunotherapy based on artificial intelligence; (iv) Data integration and database construction. He has served as a reviewer for journals and conferences on medical informatics and bioinformatics and published over 27 peer-reviewed papers.

“Artificial intelligence is growing up fast, and it will undoubtedly bring broader prospects to the research of precision medicine.

Education

• PhD, Biomedical Engineering (Bioinformatics), Huazhong University of Science and Technology, Wuhan, China, 2019
• MS, Chemistry, Nanchang University, Nanchang, China, 2016
• BS, Applied Chemistry, Suzhou University, Suzhou, China, 2013

Areas of Expertise

• Bioinformatics
• Machine Learning
• Systems Biology

Select Publications

• Haodong Xu, Peilin Jia, Zhongming Zhao. Deep learning for virus site integration prediction and motif discovery. Advanced Science, 2021, 8(9): 2004958..
• Ruifeng Hu^#, Haodong Xu^#, Peilin Jia, Zhongming Zhao. KinaseMD: Kinase mutations and drug responses in pan-cancer. Nucleic Acids Research, 2021, 49(D1): D552-D561.
• Haodong Xu, Fangfang Yan, Ruifeng Hu, Akiko Suzuki, Chihiro Iwaya, Peilin Jia, Junichi Iwata, Zhongming Zhao. CleftGeneDB: A database for genes associated with cleft lip and palate. Science Bulletin, 2021.
• Haodong Xu, Peilin Jia, Zhongming Zhao. Deep4mC: Systematic comparative assessment and computational prediction of DNA N4-methylcytosine sites by deep learning. Briefings in Bioinformatics 2021, 22(3): bbaa099.
• Haodong Xu, Li-Na Wang, Shao-Ping Shi, Jian-Ding Qiu. mUSP: a high-accuracy map of the in-situ Crosstalk of Ubiquitylation and SUMOylation via feature optimization strategy. Briefings in Bioinformatics, 2021, 22(3): bbaa050.
• Chenwei Wang^#, Haodong Xu^#, Shaofeng Lin, Wankun Deng, Jiaqi Zhou, Ying Zhang, Ying Shi, Di Peng, Yu Xue*. GPS 5.0: An update on the prediction of kinase-specific phosphorylation sites in proteins, Genomics, Proteomics & Bioinformatics, 2020.