His primary research interest focuses on developing statistical methods for the high-dimensional biomedical data with complex spatial and temporal structure (e.g. neuroimaging data and mass spectrometry data). Currently, he is working on developing statistical/graphical models for network data analysis.
2003 B.S., Harbin Institute of Technology Electrical Engineering
2004 M.S., East Tennessee State University Mathematics and Statistics
2012 MSPH, Emory University Biostatistics and Bioinformatics
2012 Ph.D., Emory University Biostatistics and Bioinformatics
EPIB 651: Biostatistics II (Syllabus)
EPIB 652: Categorical Data Analysis
EPIB 698G: Bayesian Data Analysis
EPIB 657: Spatial Statistics
EPIB 789: Statistical Consulting
David Byar Young Investigator Award Competition Travel Award, American Statistical Association, Biometrics Section, JSM 2012.
Statistical Learning and Data Mining Paper Competition winner, American Statistical Association,
Data Mining and Machine Learning Section, JSM 2011.
Livingston Fellowship, Emory University, 2011.
Organization of Human Brain Mapping Trainee Abstract Award, 2009.
*: corresponding author; + graduate student or advisee
Chiappelli J, Chen S , Hackman A, Hong LE (2017) Evidence for differential opioid use disorder in schizophrenia in an addiction treatment population, Schizophrenia Research, Schizophrenia Research, doi: 10.1016/j.schres.2017.05.004
Chen S* , Xing Y and Kang J (2017). Latent and Abnormal Functional Connectivity Circuits in Autism Spectrum Disorders. Front. Neurosci. 11:125. doi: 10.3389/fnins.2017.00125
Chen S*, Bowman F.D., and Mayberg H. (2016). A Bayesian Hierarchical Framework for Modeling BrainConnectivity for Neuroimaging Data, Biometrics, 72. 2. . DOI: 10.1111/biom.12433
Chen S*, Kang J, Xing Y+, and Wang G+, (2015). A parsimonious statistical method to detect group-wise differentially expressed functional connectivity networks, Human Brain Mapping, 36(12), 5196–5206. DOI: 10.1002/hbm.23007
Chen S*, Kang J, and Wang, G+, (2015). An empirical Bayes normalization method for connectivity metrics in resting state fMRI data, Frontiers in Neuroscience, 9, 316. doi: 10.3389/fnins.2015.00316
Huang, C., Guo, C., Nichols, C., Chen S, and Martorell R.. Elevated levels of protein in urine in adulthood after exposure to the Chinese famine of 1959-61 during gestation and the early postnatal period, International Journal of Epidemiology43(6):1806-14.
Burke D, Bell RB, Easley KA, Chen S, Samir A, and Burke D., "The effect of body mass index on stroke rehabilitation", Archives of Physical Medicine and Rehabilitation, 95 (6), 1055–1059, 2014
He, X., Lu, X., Chen, S., Hochberg, M. C., and Lee, M.-L. T., "Association between obesity, race and knee osteoarthritis: The Multicenter Osteoarthritis Study", International Journal of Statistics in Medical Research, 3, 224-230, 2014
Chen S*, Grant E+, Wu T, and Bowman FD, Machine Learning Methods for Longitudinal High Dimensional Data, accepted by WIREs Computational Statistics 6(1) 10-18, 2014.
Raison C, Rutherford R, Woolwine B, Chen S, Schettler P, Drake D, Haroon E, Miller A, A Randomized Controlled Trial of the Tumor Necrosis Factor-alpha Antagonist Infliximab in Treatment Resistant Depression: Role of Baseline Inflammation, Archives of General Psychiatry, 70(1):31–41 2013.
Bowman FD, Derado G, and Chen S, Determining Functional Connectivity using fMRI Data with Diffusion-Based AnatomicalWeighting, NeuroImage, 62, 1769–1779, 2012.
Bouloux G, Chen S, Easley K, et al. Treatment of Mandibular Fractures in a level I trauma center,Journal of Oral and Maxillofacial Surgery, 70(7) 1613–21, 2012.
Anderson A, Chane T, Patel P, Chen S, Xue W, Easley K, Warfarin therapy in HIV-infected individuals: data from the medical home model, AIDS Patient Care and STDs, 26(8):454–62, 2012.
Zhang L, Agravat S, Derado G, Chen S, Bowman FD, BSmac: a MATLAB toolbox Implementing a Bayesian Spatial model for Brain activation and Connectivity Journal of Neuroscience Methods, 204(1), 133-143, 2011.
Chen S* and Bowman FD, A Novel Support Vector Classifier for Longitudinal High Dimensional Data, Statistical Analysis and Data Mining 4(6) 604–611, 2011.
Li M, Chen S, Zhang X, Chen H, and Shyr Y,Wave-spec: a preprocessing package for mass spectrometry data, Bioinformatics 27(5): 739-740, 2011.
Woodham DC, Kenyon N, Bell SC, Alford RA, Chen S, Billheimer D, Shyr Y, Rollins-Smith LA, Adaptations of skin peptide defences and possible response to the amphibian chytrid fungus in popu- lations of Australian green-eyed treefrogs, Litoria genimaculata, Diversity and Distributions V16 (4):703-712, 2010.
Chen S, Li M, Hong D, Billheimer D, Li H, and Shyr Y, A Novel Comprehensive Wave-form MS data Processing Method, Bioinformatics, 25(6):808-814, 2009.
Salmon S, Chen H, Chen S, Herbst R, Tsao R, Tran H, Sandler A, Billheimer D, Shyr Y, Lee JW, Massion P, Brahmer J, Schiller J, Carbone D, and Dang T, Classification By Mass Spectrometry Can Accurately And Reliably Predict Outcome In Patients With Non-Small Cell Lung Cancer Treated With Erlotinib Containing Regimen, Journal of Thoracic Oncology, 4(6):689-696 2009.
Liu C, Agrawal P, Sarkar R, and Chen S, Dynamic Difficulty Adjustment in Computer Games through Real-Time Anxiety-based Affective Feedback, International Journal of Human-Computer Interaction, Volume 25(6): 506 - 529, 2009.
Chen S, Hong D, and Shyr Y, Wavelets-based Procedures for Proteomic Mass Spectrometry Data Processing, Computational Statistics and Data Analysis, 52 211-220, 2007.
Agulnik M, Cunha-Santos G, Hedley D, Nicklee T, Reis PP, Ho J, Pond GR, Chen H, Chen S, Shyr Y, Winquist E, Soulieres D, Chen EX, Squire JA, Marrano P, Kamel-Reid S, Dancey J, Siu LL, Tsao MS, Predictive and Pharmacodynamic Biomarker Studies in Tumor and Skin Tissue Samples of Patients with Recurrent or Metastatic Squamous Cell Carcinoma of the Head and Neck treated by Erlotinib, Journal of Clinical Oncology, 25(16):2184-90, 2007.
Yildiz P, Shyr Y, Rahman SMJ, Wardwell NR, Zimmerman LJ, Shakhtour B,Gray WH,Li H, Chen S, Moore JH, Liebler DC, Bigbee WL, Siegfried JM, Weissfeld JL, Gonzalez AL, Ninan M, Johnson DH, Carbone DP, Caprioli RM and Massion PP, Diagnostic Accuracy of MALDI Mass Spectrometric Analysis of Unfractionated Serum in Lung Cancer, Journal of Thoracic Oncology. 2(10):893-901, 2007.
Oh H, Hatfield BD, Jaquess KJ, Lo L-C, Tan YY, Prevost MC, Mohler JM, Postlethwaite H, Rietschel JC, Miller MW, Postlethwaite H, Blanco JA, Chen S, Gentili RJ. (2015). A composite cognitive workload assessment system in pilots under various task demands using ensemble learning. Proceedings of the 17th Human-Computer Interaction Conference. Foundations of Augmented Cognition. Lecture Notes in Computer Science, 9183), 91-100, 2-7 August, Los Angeles, USA, in press.
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