Research
Associate
Data
Science Institute
Department
of Computing
Imperial
College London
South
Kensington Campus
London
SW7 2AZ, UK
Email: xian.yang08@imperial.ac.uk
2010-2016 Imperial College London, UK
PhD in
Computer Science
Thesis
tile: Analysing datafied life
Brief intro: This thesis focuses on investigating
computational methods for analysing data generated from medical research. From
the perspective of data type, it proposes analysis methods for the data from
the fields of Bioinformatics and medical imaging. From the perspective of
research questions, this thesis studies methods for answering five typical questions
from simple to complex, which are detecting associations, identifying groups,
constructing classifiers, deriving connectivity and building dynamic models. It
has successfully demonstrated that applying a method traditionally used in one
field to a new field can bring lots of new insights.
2008-2009 University of Bath, UK
MSc in
Digital Communication (Distinction)
Individual project: Improving WCDMA system in
Rayleigh fading channels by using the MIMO scheme to reduce bit error rate and
increase system capacity.
2004-2008 Huazhong University of Science and Technology, China
BEng in Electronic Information Engineering (First
Class)
Participated the national university creativity program of
moving object detection in compressed media and developing programs to detect
moving objects in H.264.
Awarded first class scholarships for undergraduate
students in 2005, 2006 and 2007
2016 - Research
Associate, Data Science Institute, Imperial College London
·
Working on developing the European
open science research platform for translational medicine research
2012-2016 Research
Assistant, Data Science Institute, Imperial College London
·
Worked on a large EU project for
detecting unbiased biomarker of severe asthma
·
Developed data processing pipelines
of high throughput mass spectrometry Proteomics and Lipidomics
datasets
·
Analysed various Omics
and clinical datasets using statistical and machine learning methods
·
Awarded the Trophy for outstanding
work on the project in 2013
Programming Language: MATLAB, R, Python, JAVA, SQL, html
Operating system: Windows, Mac OS, Linux
[1] Lei Nie, X. Yang, P. M. Matthews, V. Tomassini, Z. Xu, and Y. Guo. “Inferring Functional Connectivity
in fMRI Using Minimum Partial Correlation”. International
Journal of Automation and Computing. 2017.
[2] X.
Yang, L. Nie, P. M. Matthews, V. Tomassini, Z. Xu, and Y. Guo, “The Critical Regularization Value: Incorporating
Spatial Smoothness to Enhance Signal Detection in Highly Noisy fMRI Data,” in
7th international IEEE/EMBS conference on neural engineering, 2015.
[3] L. Nie, X. Yang, P. M. Matthews, Z. Xu, and Y. Guo, “Minimum Partial
Correlation: An Accurate and Parameter-Free Measure of Functional Connectivity
in fMRI,” in 2015 international conference on brain informatics and health,
2015.
[4] S. Yan, X. Yang, C. Wu, Z. Zheng, and Y. Guo, “Balancing the Stability and Predictive Performance
for Multivariate Voxel Selection in fMRI Study,” in The 2014 International
Conference on Brain Informatics and Health, 2014.
[5] S. Yan, X. Yang, C. Wu, Y. Guo, Z. Zheng, and Y. Guo, “Integration
of sparse Bayesian learning and random subspace for fMRI Multivariate Pattern
Analysis,” in Engineering in Medicine and Biology Society (EMBC), 36th Annual
International Conference of the IEEE, 2014.
[6] L. Nie, X. Yang, I. Adcock, Z. Xu, and Y. Guo, “Inferring
cell-scale signalling networks via compressive sensing,” PLoS
One, vol. 9, no. 4, 2014.
[7] X.
Yang, Y. Guo, and L. Guo,
“An iterative parameter estimation method for biological systems and its parallel
implementation,” Concurr. Comput. Pract. Exp., vol. 26, no. 6, pp. 1249–1267, 2014.
[8] X.
Yang, R. Han, Y. Guo, J. Bradley, B. Cox, R.
Dickinson, and R. Kitney, “Modelling and performance
analysis of clinical pathways using the stochastic process algebra PEPA.,” BMC
Bioinformatics, vol. 13 Suppl 1, no. Suppl 14, p. S4,
2012.
[9] A. Holehouse, X. Yang, I. Adcock, and Y. Guo, “Developing a novel integrated model of p38 MAPK and
glucocorticoid signalling pathways,” 2012 IEEE Symp. Comput. Intell. Comput. Biol. CIBCB 2012, pp. 69–76, 2012.
[10] X.
Yang, Y. Guo, P. Skipp,
and A. Rowe, “Automating Mass Spectrometry Proteomics Analysis,” in Fourth
International Conference on Bioinformatics and Computational Biology, 2012.
[11] Y. Guo and X. Yang, “System Biology Approach to
Study Cancer Related Pathways,” in Systems Biology in Cancer Research and Drug
Discovery, Springer Netherlands, 2012, pp. 39–67.