厦门大学信息学院闽江特聘教授,博士生导师，厦门大学健康医疗大数据国家研究院副院长、数字福建健康医疗大数据研究所所长。目前主要从事高通量组学数据分析，肿瘤免疫治疗靶点挖掘和医学人工智能研究。到目前为止，俞容山博士在 Cell, Star Protocols, Patterns (Cell 子刊)，Nature Communications, Communications Medicine, Communications Biology, Briefings in Bioinformatics, Bioinformatics，EBioMedicine，ISMB, BIBM 等生物医学或人工智能相关刊物或国际会议上发表了一百多篇论文。俞容山博士是国际工程技术学会会士 (Fellow of IET)，国际电气及电子工程师协会高级会员(IEEE Senior Member)， IEEE 电路及系统协会多媒体系统及应用技术委员会成员(MSATC Member)，及 IEEE 信号处理学会物联网(Internet of Thing) 技术委员会主席。他还担任MPEG国际标准委员会的管理顾问委员会成员（Advisory Group Member）,以及多项 MPEG 国际标准的编辑。

研究方向：生物信息、医学人工智能

代表作：

1. Lin, Y., Li, H., Xiao, X., Zhang, L., Wang, K., Zhao, J., ... & Yu, R. * (2022). DAISM-DNNXMBD: Highly accurate cell type proportion estimation with in-silico data augmentation and deep neural networks. Patterns, 100440.

2. X. Xiao, Q. Guo, C. Cui, Y. Lin, L. Zhang, X. Ding, Q. Li, M. Wang, W. Yang, Y. Kong, R. Yu*, (2022). Multiplexed imaging mass cytometry reveals distinct tumor-immune microenvironments linked to immunotherapy responses in melanoma. Communications Medicine, 131. 

3. Gao, M., Yang, W., Li, C., Chang, Y., Liu, Y., He, Q., Zhong, C.Q., Shuai, J., Yu, R*. and Han, J.*, (2021). Deep representation features from DreamDIAXMBD improve the analysis of data-independent acquisition proteomics. Communications Biology, 4(1), pp.1-10.

4. Cui, C., Xu, C., Yang, W., Chi, Z., Sheng, X., Si, L., Xie, Y., Yu, J., Wang, S., Yu, R.* and Guo, J.*, (2021). Ratio of the interferon-γ signature to the immunosuppression signature predicts anti-PD-1 therapy response in melanoma. NPJ Genomic Medicine, 6(1), pp.1-12.

5. Liu, Y., Lin, Y., Yang, W., Lin, Y., Wu, Y., Zhang, Z., ... & Yu, R.* (2022). Application of individualized differential expression analysis in human cancer proteome. Briefings in Bioinformatics.