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Shuo Chen, PhD

Academic Title:

Associate Professor

Primary Appointment:

Epidemiology & Public Health

Secondary Appointment(s):

Psychiatry

Additional Title:

Director of Biostatistics and Data Science, at Maryland Psychiatric Research Center

Email:

shuochen at som.umaryland.edu

Location:

MPRC

Phone (Primary):

410-402-7141

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Education and Training

Ph.D, Biostatistics  Emory University,   2012

Master of Science in Public Health, Emory University

Master of Science, Mathematics and Statistics, East Tennessee State University   

Bachelor of Science, Electrical Engineering, Harbin Institute of Technology, Harbin, China  

Biosketch

Dr. Chen is a biostatistician with a research focus on modeling large biomedical data with complex and organized structures (e.g., imaging and omics data). He develops novel machine learning and statistical models for the analysis of imaging and omics data. Dr. Chen also has extensive experience in biostatistical collaborative research including clinical trial design and analysis, environmental health, infectious disease, and cancer research. 

 

Lab website:https://www.umdbright.com/

Research/Clinical Keywords

Big Data, machine learning, clinical trial design/analysis, network/graph statistics, neuroimaging statistics (MRI, EEG, fMRI, MRS, and DTI data), genomics and proteomics, Bayesian modeling, optimization.

Highlighted Publications

  1.  Wu Q$, Zhang Z, Ma T, Waltz J, Milton D, Chen, S#. (2021+) Link Predictions for Incomplete Network Data with Outcome Misclassification, Statistics in Medicine. Accepted.
  2. Wu Q$, Ma T, Liu Q, Milton D, Zhang Y, Chen, S#. (2021+) Extracting Interconnected Communities in Gene Co-expression Networks. Bioinformatics. Accepted.
  3.  Chen, S#., Bowman, FD., Xing, Y$.,  (2020). Detecting and Testing Altered Brain Connectivity Networks with K-partite Network Topology.   Computational Statistics and Data Analysis, 141, 109-122
  4. Chen, S#., Xing, Y$., Kang, J.,  Kochunov P., Hong, E.L. (2020). Bayesian Modeling of Dependence in Brain Connectivity Data.   Biostatistics, 21 (2), 269-286
  5.  Chen, S#., Kang, J., Xing, Y$., Zhao, Y., Milton, D. (2018). Estimating Large Covariance Matrix with Network Topology for High-dimensional Biomedical Data.   Computational Statistics and Data Analysis,  127, 82-95.
  6. Chiappelli J., Chen  S., Hackman, A., & Hong, L. E. (2017). Evidence for differential opioid use disorder in schizophrenia in an addiction treatment population. Schizophrenia Research.
  7. Chen S# , Xing Y$ and Kang J (2017). Latent and Abnormal Functional Connectivity Circuits in Autism Spectrum Disorders. Front. Neurosci. 11:125. doi: 10.3389/fnins.2017.00125
  8. Chen S#,  Bowman  F.D.,  and  Mayberg  H.  (2016).   A Bayesian  Hierarchical  Framework  for Modeling  Brain Connectivity for Neuroimaging  Data,  Biometrics, 72. 2.  . DOI: 10.1111/biom.12433
  9. 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

# the corresponding author;

$  trainees and advisees of Chen

Additional Publication Citations

 See the full list at https://scholar.google.com/citations?user=QFFDsScAAAAJ&hl=en

  1. Chen, S. #, Bowman, F. D., & Xing, Y$. (2020). Differentially Expressed Functional Connectivity Networks with K-partite Graph Topology. arXiv preprint arXiv:1603.07211. Computational Statistics and Data Analysis, 141, 109-122
  2. Chen, S. #, Xing, Y$., Kang, J., Kochunov, P., & Hong, L. E. (2020). Bayesian modeling of dependence in brain connectivity data, Biostatistics, 21 (2), 269-286.
  3. Chen, S#., Kang, J., Xing, Y$., Zhao, Y., Milton, D. (2018). Estimating large covariance matrix with network topology for high-dimensional biomedical data.  Computational Statistics and Data Analysis, 127, 82-95.
  4. Chiappelli, J., Rowland, L., Chen, S., Wijtenburg, A., Ryan, M., Chen, H., ... & Hong, E. (2019, April). Mapping of Whole Brain Myoinositol Levels Identifies Prefrontal Reductions In Depression. In SCHIZOPHRENIA BULLETIN(Vol. 45, pp. S311-S312). 
  5. Gold, J. M., Bansal, S., Gaspar, J. M., Chen, S., Robinson, B. M., Hahn, B., & Luck, S. J. (2019). People with schizophrenia show enhanced cognitive costs of maintaining a single item in working memory. Psychological medicine, In press.
  6. Adhikari, B., Hong, L.E., Sampath, H., Chiappelli, J., Jahanshad, N., Thompson, P.M., Rowland, L.M., Calhoun, V., Du, X., Chen, S. and Kochunov, P., 2019. O32. Functional Network Connectivity Impairments and Core Cognitive Deficits in Schizophrenia. Biological Psychiatry, 85(10).
  7. Bruce H., Kochunov, P. Mitchell, B, Strauss, K, Ament, Rowland, L.,   Du, X., …Chen, S.,  .., and Hong, E.L. (2019).  Clinical and Genetic Validity of Quantitative Bipolarity Translational Psychiatry. In press
  8. Kochunov P, Huang, H.,  Chen S.,. .. Rowland LM, Jahanshad N, Thompson PM, Kelly S, Du X, Adhikari B, Chen S, Paciga SA, Whelan CD, Xie Z, Hyde CL, Chen X, Schubert CR, O’Donnell P, Tan, Y., Hong LE. (2019) White Matter in Schizophrenia Treatment Resistance (2019),  The American Journal of Psychiatry, In press
  9. Shaw, E. P., Rietschel, J. C., Shuggi, I. M., Xing, Y$., Hendershot, B. D., Pruziner, A. L., Chen, S Hartfield, B., Gentili, R. J. (2019). Evaluation of cerebral cortical networking as a measure of cognitive workload during dual-task walking under various levels of challenge. Experimental Brain Research, In press.
  10. Kim, E., Li, J., Kang, M., Kelly, Chen, S., L., …. Bentley, W. E., & Payne, G. F. (2019). Signal Processing Approach to Probe Chemical Space for Discriminating Redox Signatures. Biosensors and Bioelectronics.
  11. Wijtenburg, S.A., Kapogiannis, D., Korenic, S.A., Mullins, R.J., Tran, J., Gaston, F.E., Chen, S., Mustapic, M., Hong, L.E. and Rowland, L.M., (2019). Brain insulin resistance and altered brain glucose are related to memory impairments in schizophrenia. Schizophrenia Research.
  12. Turpin, R. E., Slopen, N., Chen, S., Boekeloo, B., Dallal, C., & Dyer, T. (2018). Latent class analysis of a syndemic of risk factors on HIV testing among black men. AIDS care, 1-8.
  13. Shaw, E. P., Rietschel, J. C., Shuggi, I. M., Xing, Y., Hendershot, B. D., Pruziner, A. L., Chen, S & Gentili, R. J. (2018). Evaluation of cerebral cortical networking as a measure of cognitive workload during dual-task walking under various levels of challenge. In Journal of Sport & Exercise Psychology(Vol. 40, pp. S65-S65).
  14. Clark, S. M., Notarangelo, F. M., Li, X., Chen, S., Schwarcz, R., & Tonelli, L. H. (2018). Maternal immune activation in rats blunts brain cytokine and kynurenine pathway responses to a second immune challenge in early adulthood. Progress in Neuro-Psychopharmacology and Biological Psychiatry.
  15. Baratta, A. M., Buck, S. A., Buchla, A. D., Fabian, C. B., Chen, S., Mong, J. A., Pocivavsek, A. (2018). Sex Differences in Hippocampal Memory and Kynurenic Acid Formation Following Acute Sleep Deprivation in Rats. Scientific reports, 8(1), 6963.
  16. Wijtenburg, S.A., Near, J., Korenic, S.A., Gaston, F.E., Chen, H., Mikkelsen, M., Chen, S., Kochunov, P., Hong, L.E. and Rowland, L.M., 2018. Comparing the reproducibility of commonly used magnetic resonance spectroscopy techniques to quantify cerebral glutathione. Journal of Magnetic Resonance Imaging.
  17. Kang, M., Kim, E., Chen, S., Bentley, W. E., Kelly, D. L., & Payne, G. F. (2018). Signal Processing Approach to Probe Chemical Space for Discriminating Redox Signatures. Biosensors and Bioelectronics.112, 127-135.
  18. Warren, K., Wehring, H., Liu, F., McMahon, R., Chen S,   Chester C,   Kelly D;(2018) Effects of Intranasal Oxytocin on Satiety Signaling in People with Schizophrenia Physiology & Behavior,
  19. Gold J, Robinson B, Leonard C, Hahn B, Chen S, McMahon R, Luck S; (2017) Selective Attention, Working Memory, and Executive Function as Potential Independent Sources of Cognitive Dysfunction in Schizophrenia, Schizophrenia Bulletin, https://doi.org/10.1093/schbul/sbx155
  20. Kochunov P, Coyle TR, Rowland LM, Jahanshad N, Thompson PM, Kelly S, Du X, Adhikari B, Chen S, Paciga SA, Whelan CD, Xie Z, Hyde CL, Chen X, Schubert CR, O’Donnell P, Hong LE. (2017). Association of White Matter With Core Cognitive Deficits in Patients With Schizophrenia. JAMA Psychiatry . doi:10.1001/jamapsychiatry.2228
  21. Chiappelli J., Chen , Hackman, A., & Hong, L. E. (2017). Evidence for differential opioid use disorder in schizophrenia in an addiction treatment population. Schizophrenia Research.
  22. Chen S#, Xing Y$ and Kang J (2017). Latent and Abnormal Functional Connectivity Circuits in Autism Spectrum Disorders.  Neurosci.11:125. doi: 10.3389/fnins.2017.00125
  23. Chen S#,Bowman  F.D.,  and  Mayberg  H.  (2016).   A Bayesian  Hierarchical  Framework  for Modeling  Brain Connectivity for Neuroimaging  Data,  Biometrics, 72. 2.  . DOI: 10.1111/biom.12433
  24. 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-DOI: 10.1002/hbm.23007
  25. Oh, H., Hatfield, B. D., Jaquess, K. J., Lo, L. C., Tan, Y. Y., Prevost, M. C., Blanco, J. A., Chen S, R Gentili (2015). A composite cognitive workload assessment system in pilots under various task demands using ensemble learning. In International Conference on Augmented Cognition (pp. 91-100). Springer, Cham.
  26. Chen S#,Kang J, and Wang, G$,  (2015). An empirical  Bayes normalization method  for connectivity metrics in resting  state  fMRI data, Frontiers in Neuroscience, 9, 316. doi: 10.3389/fnins.2015.00316
  27. Huang,  C.,  Guo,  C.,  Nichols,  C.,  ChenS,  and  Martorell  R.. (2014) Elevated  levels of protein  in urine  in adulthood after  exposure  to the  Chinese famine of 1959-61 during  gestation and  the  early postnatal period, International Journal of Epidemiology 43(6):1806-14.
  28. Burke D, Bell RB, Easley KA, Chen S, Samir A, and Burke D., "The effect of body mass index on stroke rehabilitation", Archives of Physical Medicine and Rehabilitation, 95 (6), 1055–1059, 2014
  29. He, X., Lu, X., Chen, S., Hochberg, M. C., and Lee, M.-L. T., "Association between obesity, race and knee osteoarthritis: The Multicenter Osteoarthritis Study", International Journal of Statistics in Medical Research, 3, 224-230, 2014
  30. Chen S#, Grant E$, Wu T, and Bowman FD, Machine Learning Methods for Longitudinal High Dimensional Data, WIREs Computational Statistics 6(1) 10-18, 2014.
  31. 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.
  32. Bowman FD, Derado G, and Chen S, Determining Functional Connectivity using fMRI Data with Diffusion-Based AnatomicalWeighting, NeuroImage, 62, 1769–1779, 2012.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. 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.
  44. 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.

Awards and Affiliations

2019   Avenir Award, National Institute of Health, USA.

2012   Young Investigator Award Competition Travel Award, American Statistical Association, Biometrics Section, JSM 2012.

2011   Statistical Learning and Data Mining Student Paper Competition winner, American Statistical Association, JSM 2011.

2011   Livingston Fellowship.

2011   NIH Biostatistics in Genetics, Immunology, and Neuroimaging (BGIN) Training Program Fellowship, 2011-2012.

 

Selected trainee/advisee award

2020  Advisor of graduate student Qiong Wu: 2020 Student Paper Competition First Place Winner, The Statistical Methods in Imaging Conference 2020. Title: Predicting Latent Links from Incomplete Network Data Using Exponential Random Graph Model with Outcome Misclassification

2020  Advisor of graduate student Qiong Wu: 2020 Student Paper Competition First Place Winner, American Statistical Association, Statistical Imaging Section, JSM, 2020. Title: Extracting Brain Disease-Related Connectome Subgraphs by Adaptive Dense Subgraph Discovery

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