Dr Xu Chen
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Email
xc23776@essex.ac.uk -
Telephone
+44 (0) 1206 874425
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Location
3A.528, 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 糖心Vlog 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
糖心Vlog
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Lecturer in Data Science, School of Mathematics, Statistics and Actuarial Science (SMSAS), 糖心Vlog (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
The All-resolutions Inference (ARI) framework
2023 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)
Publications
Publications (1)
Chen, X., Goeman, JJ., Krebs, TJP., Meijer, RJ. and Weeda, WD., (2022).
Journal articles (8)
Goeman, JJ., G贸recki, 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鈥恠cale 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., Ros茅n, J., Fredrikson, M., Chen, X., Kuja-Halkola, R., Larsson, H., Jensen, KB. and 脜hs, F., (2022). . Translational Psychiatry. 12 (1), 95-
Kastrati, G., Ros茅n, J., Thompson, WH., Chen, X., Larsson, H., Nichols, TE., Tracey, I., Fransson, P., 脜hs, F. and Jensen, KB., (2022). . Cerebral Cortex. 32 (2), 266-274
Kastrati, G., Ros茅n, J., Fredrikson, M., Chen, X., Kuja-Halkola, R., Larsson, H., Jensen, KB. and 脜hs, F., (2022). Correction: Genetic influences on central and peripheral nervous system activity during fear conditioning. Translational Psychiatry. 12 (1), 192-
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
Kochunov, P., Patel, B., Ganjgahi, H., Donohue, B., Ryan, M., Hong, EL., Chen, X., Adhikari, B., Jahanshad, N., Thompson, PM., Van鈥檛 Ent, D., den Braber, A., de Geus, EJC., Brouwer, RM., Boomsma, DI., Hulshoff Pol, HE., de Zubicaray, GI., McMahon, KL., Martin, NG., Wright, MJ. and Nichols, TE., (2019). Homogenizing Estimates of Heritability Among SOLAR-Eclipse, OpenMx, APACE, and FPHI Software Packages in Neuroimaging Data. Frontiers in Neuroinformatics. 13, 16-
Grants and funding
2025
LMS Scheme 4 Research in Pairs - Applicant Research Visit (Leiden, Netherlands)
London Mathematical Society
