About

My research is based in the methodology of data analysis in the contexts of natural systems and complex networks.

Domains of Attraction

Foundations of network data analysis
Systems modeling

Numerical Optimization
Algorithms

Biological systems
Neurological systems
Social networks

--Wes Viles--

Current Position
Assistant Professor of Mathematics and Statistics
Department of Mathematics and Statistics
University of Southern Maine

Postdoctoral Position
Research Associate
Department of Biomedical Data Science
Dartmouth College, Geisel School of Medicine

Education
Ph.D. in Mathematics, 2013
Department of Mathematics and Statistics
Boston University

Full education and experience list
[pdf] [html]

--Wes Viles--

Education

Postdoctoral Researcher
Dartmouth College, Geisel School of Medicine
Department of Biomedical Data Science
2015-2017

Ph.D. in Mathematics
Boston University
September 2008 to September 2013

M.A. in Mathematics
University of Maine
September 2006 to May 2008

Bachelor of Science
University of Maine
Majors: Mathematics and Education
Minor: Computer Science.
September 2002 to May 2006

Experience

Assistant Professor
University of Southern Maine
Department of Mathematics and Statistics
September 2018 to present

Visiting Assistant Professor
Colby College
Department of Mathematics and Statistics
September 2017 to August 2018

Postdoctoral Research Associate
Dartmouth College Geisel School of Medicine
Department of Biomedical Data Sciences
September 2015 to August 2017

Lecturer
Boston University
Department of Mathematics and Statistics
September 2014 to May 2015

Visiting Assistant Professor
Mount Holyoke College
Department of Mathematics and Statistics
July 2013 to June 2014

Research Fellow and Teaching Fellow
Boston University
Department of Mathematics and Statistics
September 2008 to June 2013

Teaching Assistant
University of Maine
Department of Mathematics and Statistics
September 2006 to May 2008

--Wes Viles--

Selected Publications


W. D. Viles, J. C. Madan, H. Li, M. R. Karagas, and A. G. Hoen. Information content of high-order associations in the human gut microbiota network. Annals of Applied Statistics, In Press 2021.
[arXiv]

L-E. Martinet, M. A. Kramer, W. D. Viles, L. N. Perkins, E. Spencer, C. J. Chu, S. S. Cash, and E. D. Kolaczyk. Robust dynamic community detection with applications to human brain functional networks. Nature Communications, 11:2785, 2020.
[NatComm]

P. Balachandran, E. D. Kolaczyk, and W. D. Viles. On the propagation of low-rate measurement error to subgraph counts in large, sparse networks. Journal of Machine Learning Research, 18(61), 1-33, 2017.
[JMLR]

W. D. Viles, C. Ginestet, A. Tang, M. A. Kramer, and E. D. Kolaczyk (2016) Percolation under noise: detecting explosive percolation using the second largest component. Physical Review E, 93:052301, 2016.
[PRE]

Full publication list
[pdf] [html]

--Wes Viles--

Publications


W. D. Viles, J. C. Madan, H. Li, M. R. Karagas, and A. G. Hoen. Information content of high-order associations in the human gut microbiota network. Annals of Applied Statistics, In Press 2021.
[arXiv]

J. Zhou, A. G. Hoen, S. McRitchie, W. Pathmasiri, W. D. Viles, Q. P. Nguyen, J. C. Madan, E. Dade, M. R. Karagas, and J. Gui. Information enhanced model selection for Gaussian graphical model with application to metabolomic data. Biostatistics, In Press 2021.
[biorXiv]

L-E. Martinet, M. A. Kramer, W. D. Viles, L. N. Perkins, E. Spencer, C. J. Chu, S. S. Cash, and E. D. Kolaczyk. Robust dynamic community detection with applications to human brain functional networks. Nature Communications, 11:2785, 2020.
[NatComm]

J. Zhou, W. D. Viles, B. Lu, Z. Li, J. C. Madan, M. R. Karagas, J. Gui, and A. G. Hoen. Identification of microbial interaction network: zero-inflated latent Ising model based approach. BioData Mining, 13, 2020.
[BDM]

P. Balachandran, E. D. Kolaczyk, and W. D. Viles. On the propagation of low-rate measurement error to subgraph counts in large, sparse networks. Journal of Machine Learning Research, 18(61), 1-33, 2017.
[JMLR]

P. C. Horak, S. Meisenhelter, Y. Song, M. E. Testorf, M. J. Kahana, W. D. Viles, D. Bujarski, A. C. Connolly, A. A. Robbins, M. R. Sperling, A. D. Sharan, G. A. Worrell, L. R. Miller, R. Gross, K. A. Davis, D. W. Roberts, B. Lega, S. A. Sheth, K. A. Zaghloul, J. M. Stein, S. Das, D. S. Rizzuto, , and B. C. Jobst. Interictal epileptiform discharges impair word recall in multiple brain areas. Epilepsia, 58:373–380, 2017.
[Emory]

W. D. Viles and A. J. O’Malley. External information in community detection. Joint Statistical Meetings Proceedings, Chicago: American Statistical Association, 2016.
[arXiv]

W. D. Viles, C. Ginestet, A. Tang, M. A. Kramer, and E. D. Kolaczyk (2016) Percolation under noise: detecting explosive percolation using the second largest component. Physical Review E, 93:052301, 2016.
[PRE]

D. M. Parker, L. Schang, J. R. Wasserman, W. D. Viles, G. G. Bevan, and D. C. Goodman. Variation in utilization and need for Tympanostomy tubes across England and New England. Journal of Pediatrics, 179:178–184, 2016.
[JPeds]

R. C. Gupta and W. D. Viles. Statistical inference for the extended generalized inverse Gaussian distribution. Journal of Statistical Computation and Simulation, 82:1955–1972, 2012.
[TFO]

R. C. Gupta and W. D. Viles. Roller-coaster failure rates and mean residual life functions with application to the extended generalized inverse Gaussian model. Probability in the Engineering and Informational Sciences, 25:103–118, 2011.
[TFO]

P. Balachandran, W. D. Viles, and E. D. Kolaczyk. Exponential-type inequalities involving ratios of the modified bessel function of the first kind and their applications. Unpublished Manuscript, 2013.
[CUP]

--Wes Viles--

Contact

Fax: 207-780-5607
E-mail: weston.viles@maine.edu
--ARPANET--
The ARPANET in January 1970