主要有两大研究方向：

发展新的统计理论和算法，来解决生物、医学、计算机领域的问题；

基因组学和生物信息学，比如研究癌基因组测序数据及单细胞测序数据等。

1. 国家重点研发计划（2017.1－2021.12），批准号 2016YFC0207705，污染与宏观经济、人口健康的计量分析，负责 43 万元，参与

2. 国家自然科学基金重点项目 （2016.1－2020.12），批准号 71532001，大数据驱动的管理决策模型与算法，负责 32 万，参与

3. 国家自然科学基金面上项目（2015.01-2018.12），批准号 11471022，基于高通量测序数据研究基因组变异的统计问题，60 万，主持

4. 国家科技部 973 项目（2015.01-2019.12），批准号 2015CB856000，非结构数据的统计学习：数学基础及算法，负责 58 万元，参与

5. 2013 年bwin必赢官方网站－微软联合实验室基金，高维数据的非线性降维，3 万元，主持

6. bwin必赢官方网站 985 经费（2013.01-2015.12），癌基因组数据的统计分析，30 万元，主持

 1.Xia,Y., Liu, Y., Deng, M.and Xi, R.* (2018+) Detecting virus integration sites based on multiple related sequencing data by VirTect, BMC Medical Genomics,Accepted.

2.Xia, Y., Liu, Y., Deng, M.and Xi, R.* (2017) SVmine improves structural variation detection by integrative mining of predictions from multiple algorithms, Bioinformatics, 1;33(21):3348-3354.

3.Yuan, H.Xi, R.*, Chen, C.and Deng, M.* (2017) Differential network analysis via lasso penalized D-trace loss, Biometrika, 104 (4):755-770.

4.Xia, Y., Liu Y., Deng, M.and Xi, R.* (2017) Pysim-sv: a package for

simulating structural variation data with GC-biases, BCM Bioinformatics,18(Suppl 3):53.

5.Xi, R.*, Lee, S., Xia, Y., Kim, T.and Park, P.* (2016) Copy number analysis of whole-genome data using BIC-seq2 and its application to detection of cancer susceptibility variants, Nucleic Acids Research, 44(13): 6274-86.

6.Xi, R.*, Li, Y.and Hu, Y.(2015) Bayesian quantile regression based on the empirical likelihood with spike and slab priors, Bayesian Analysis,11(3):821-855.

7.Xi, R.and Lin, N.* (2015) Direct regression modelling of high-order moments in big data, Statistics and Its Interface, 9(4):445-452.

8.Yang, L., Luquette, L.J., Gehlenborg, N., Xi, R., Haseley, P.S., Hsieh, C.H.,Zhang, C., Ren, X., Protopopov, A., Chin, L., Kucherlapati, R., Lee, C.and Park P.J.* (2013) Diverse mechanisms of somatic structural variations in human cancer genomes, Cell, 153(4):919-929.

9.Xi, R., Lin, N., Chen, Y.* and Kim, Y.(2012) Compression and aggregation of Bayesian estimates for data intensive computing, Knowledge and Information Systems, 33(1):191-212.

10.Xi, R., Hadjipanayis, A.G., Luquette, L.J., Kim, T.M., Lee, E., Zhang, J.H.,Johnson, M.D., Muzny, D.M., Wheeler, D.A., Kucherlapati, R., and Park, P.* (2011) Copy number alteration detection in sequencing data using the Bayesian information criterion, Proceedings of the National Academy of Sciences, USA,108(46):E1128-1136.