Jun Wen
Assistant Professor of Computational Biology
Research Interests
Professor Wen's teaching and research interests span developing innovative computational approaches to understand the complex interactions among genetic variants, medications, environmental exposures, and diseases – ultimately advancing disease risk prediction, etiology, and pharmacogenomics. His work focuses on developing advanced AI-driven frameworks to decipher the intricate relationships among drugs, genetic variants, and diseases. By integrating multimodal biomedical data – including genomics, pharmacogenomics, and electronic health records. Professor Wen aims to accelerate the discovery of novel therapeutic insights and improve disease risk prediction. Email
Prior to joining MBZUAI, Professor Wen was a Research Fellow at the Department of Biomedical Informatics at Harvard Medical School, under the mentorship of Professors Tianxi Cai, Marinka Zitnik, Jun S. Liu, and Junwei Lu. Earlier in his career, Professor Wen worked on embedded systems, robotic control, visual action recognition, and transfer learning, with applications in deciphering neural circuits underlying Drosophila larval locomotion. Looking ahead, he is passionate about advancing AI-driven precision medicine.
- Research Fellow, Harvard Medical School.
- Ph.D. in computer Science from Zhejiang University.
- Distinguished reviewer of AISTATS, 2023.
- National Scholarship, Zhejiang University, 2019.
- Wen, J., Hou, J., Bonzel, C. L., Zhao, Y., Castro, V. M., Gainer, V. S., ... & Cai, T.: "LATTE: Label-efficient incident phenotyping from longitudinal electronic health records." Patterns (Cell), 5(1) (Cover article), 2025.
- Wen, J.*, Xue, H.*, Rush, E.,Ö& Cai, T.: "DOME: Directional medical embedding vectors from electronic health records." Journal of Biomedical Informatics, 104768, 2025.
- Wen, J., Zhang, X., Rush, E., Panickan, V. A., Li, X., Cai, T., ... & Cai, T.: "Multimodal representation learning for predicting molecule-disease relations. Bioinformatics, 39(2), btad085, 2023.
- Wen, J., Yuan, J., Zheng, Q., Liu, R., Gong, Z., & Zheng, N.: "Hierarchical domain adaptation with local feature patterns." Pattern Recognition, 124, 108445, 2022.
- Wen, J., Liu, R., Zheng, N., Zheng, Q., Gong, Z., & Yuan, J.: "Exploiting local feature patterns for unsupervised domain adaptation." In AAAI conference on artificial intelligence (Vol. 33, No. 01, pp. 5401-5408), 2019.