Dr Xu Chen
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Email
xc23776@essex.ac.uk -
Telephone
+44 (0) 1206 874425
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Location
3A.527, Colchester Campus
Profile
Biography
Xu Chen is a neuroimaging statistician whose research focuses on developing statistical and computational methods to analyse large-scale brain imaging data. Dr Chen completed her PhD in Statistics at the University of Warwick and her postdoctoral training at Leiden University Medical Center and Maastricht University, respectively. She joined the University of Essex in 2023, and is currently working as a Lecturer in Data Science in the School of Mathematics, Statistics and Actuarial Science.
Qualifications
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PhD in Statistics University of Warwick, (2014)
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BSc in Information and Computational Science Shanghai University of Finance and Economics, (2009)
Appointments
University of Essex
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Lecturer in Data Science, School of Mathematics, Statistics and Actuarial Science (SMSAS), University of Essex (21/9/2023 - present)
Other academic
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Researcher, Biomedical Data Sciences, Leiden University Medical Center (1/2/2019 - present)
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Researcher, Cognitive Neuroscience, Maastricht University (15/1/2015 - 30/4/2018)
Research and professional activities
Research interests
Neuroimaging data analysis
Multiple testing
Imaging genetics
Conferences and presentations
ClusterTDP: Cluster Inference via Closed Testing for True Discovery Proportion (TDP) Analysis
Half Day Educational Courses - Where is my signal? An interactive course on incorporating spatial information in fMRI analysis, The 31st Annual Meeting of the Organization for Human Brain Mapping (OHBM 2025), Brisbane, Australia, 24/6/2025
The All-resolutions Inference (ARI) framework
Full Day Educational Course - Beyond blobology: advances in statistical inference for neuroimaging, The 29th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2023), Montréal, Canada, 22/7/2023
Teaching and supervision
Current teaching responsibilities
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Data Visualisation (MA304)
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Applied Statistics (MA321)
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Research Skills (MA903)
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Dissertation (MA981)
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Financial Mathematics (MA226)
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Mathematics of Portfolios (MA311)
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Ordinary Differential Equations (MA202)
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Bayesian and Computational Statistics (MA322)
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Partial Differential Equations (MA323)
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Databases and data processing with SQL (MA332)
Publications
Journal articles (7)
Goeman, JJ., Górecki, P., Monajemi, R., Chen, X., Nichols, TE. and Weeda, W., (2023). Cluster extent inference revisited: quantification and localisation of brain activity. Journal of The Royal Statistical Society Series B-statistical Methodology. 85 (4), 1128-1153
Tian, J., Chen, X., Katsevich, E., Goeman, J. and Ramdas, A., (2023). Large‐scale simultaneous inference under dependence. Scandinavian Journal of Statistics. 50 (2), 750-796
Cai, M., Vesely, A., Chen, X., Li, L. and Goeman, JJ., (2022). NetTDP: permutation-based true discovery proportions for differential co-expression network analysis. Briefings in Bioinformatics. 23 (6), bbac417-
Kastrati, G., Rosén, J., Fredrikson, M., Chen, X., Kuja-Halkola, R., Larsson, H., Jensen, KB. and Åhs, F., (2022). Genetic influences on central and peripheral nervous system activity during fear conditioning. Translational Psychiatry. 12 (1), 95-
Kastrati, G., Rosén, J., Thompson, WH., Chen, X., Larsson, H., Nichols, TE., Tracey, I., Fransson, P., Åhs, F. and Jensen, KB., (2022). Genetic Influence on Nociceptive Processing in the Human Brain—A Twin Study. Cerebral Cortex. 32 (2), 266-274
Kochunov, P., Patel, B., Ganjgahi, H., Chen, X. and et al, (2019). Homogenizing Estimates of Heritability Among SOLAR-Eclipse, OpenMx, APACE, and FPHI Software Packages in Neuroimaging Data. Frontiers in Neuroinformatics. 13, 16-
Chen, X., Formisano, E., Blokland, GAM., Strike, LT., McMahon, KL., de Zubicaray, GI., Thompson, PM., Wright, MJ., Winkler, AM., Ge, T. and Nichols, TE., (2019). Accelerated estimation and permutation inference for ACE modeling. Human Brain Mapping. 40 (12), 3488-3507
Reports and Papers (1)
Chen, X., Goeman, JJ., Krebs, TJP., Meijer, RJ. and Weeda, WD., (2022). Adaptive Cluster Thresholding with Spatial Activation Guarantees Using All-resolutions Inference
Grants and funding
2025
LMS Scheme 4 Research in Pairs - Applicant Research Visit (Leiden, Netherlands)
London Mathematical Society