Heather Shappell

Lecturer

Title Lecturer
Email hshap@bu.edu
Education Ph.D. Boston University
M.S. Boston University
B.S. Arcadia University

Heather Shappell is an Assistant Professor of Biostatistics and Data Science at Wake Forest University School of Medicine. Previously, she completed a postdoctoral fellowship in the Department of Biostatistics at Johns Hopkins University, where she was awarded a prestigious Provost Fellowship to continue her research efforts developing statistical methods to analyze fMRI data. She earned her PhD in Biostatistics from Boston University in 2017, as well as her Masters in Biostatistics from Boston University in 2013. Heather obtained her Bachelor’s degree in Mathematics and Computer Science from Arcadia University in 2011. Her current research interests include the statistical analysis of network data, with a particular focus on applications to neuroscience and brain networks. She has also been involved in the statistical analyses for several clinical trials, including clinical trials for treatment of the rare disease, Progeria, as well as in the analyses for observational studies studying cardiovascular disease and mental illness. Heather has an immense passion for teaching mathematics and statistics and has been an online facilitator and instructor at MET CS since Fall 2014. She has facilitated for CS 546, CS 544, and CS 555 and has instructed for CS 544 and CS 555.

Courses

Research Interests

Publications and Talks

A full listing of publications is available online at: https://www.ncbi.nlm.nih.gov/myncbi/heather.shappell.1/bibliography/public/

Publications
Shappell, H., Tripodis, Y., Killiany, R., Kolaczyk, E.D., (2019). A Paradigm for Longitudinal Complex Network Analysis over Patient Cohorts in Neuroscience. Network Science.

Shappell, H., Caffo, B. S., Pekar, J. J., Lindquist, M. A. (2019). Improved state change estimation in dynamic functional connectivity using hidden semi-Markov models. NeuroImage, 191, 243-257.

Gordon, L. B., Shappell, H., Massaro, J., D’Agostino, R. B., Brazier, J., Campbell, S. E., … & Kieran, M. W. (2018). Association of lonafarnib treatment vs no treatment with mortality rate in patients with Hutchinson-Gilford progeria syndrome. Jama, 319(16), 1687-1695.

Russinova, Z., Bloch, P., Wewiorski, N., Shappell, H., Rogers, E. S. (2018). Predictors of sustained employment among individuals with serious mental illness: findings from a 5-year naturalistic longitudinal study. The Journal of nervous and mental disease, 206(9), 669-679.

Maru, M., Rogers, E. S., Hutchinson, D., Shappell, H. (2018). An Integrated Supported Employment and Education Model: Exploratory Study of an Innovative Approach Designed to Better Meet the Needs of Young Adults with Psychiatric Conditions. The journal of behavioral health services & research, 45(3), 489-498.

Burke, G. M., Genuardi, M., Shappell, H., D’Agostino Sr, R. B., & Magnani, J. W. (2017). Temporal associations between smoking and cardiovascular disease, 1971 to 2006 (from the Framingham Heart Study). The American journal of cardiology, 120(10), 1787-1791.

Godbole, H., Grzesik, K., Shappell, H., (2017). Poisson Approximations for the Number of kl-Scans. Handbook of Scan Statistics, 1-8.

Gordon, L.B., Kleinman, M.E., Massaro, J.M., D’Agostino, R.B., Shappell, H., Gerhard-Herman, M., Smoot, L.B., Gordon, C.M., Cleveland, R.H., Nazarian, A. and Snyder, B.D., (2016). Clinical Trial of Protein Farnesylation Inhibitors Lonafarnib, Pravastatin and Zoledronic Acid in Children with Hutchinson-Gilford Progeria Syndrome. Circulation, pp.CIRCULATIONAHA-116.

Vathipadiekal, V., Farrell, J., Shuai, Z., Edward, H., Shappell, H., Al-Rubaish, A.M., Al-Muhanna, F., Naserullah,Z.,Alsuliman, A.,Simkin, I. and Farrer, L., (2015). A Candidate Trans-Acting Modulator of Fetal Hemoglobin Gene Expression in the Arab-Indian Haplotype of Sickle Cell Anemia. Blood,126(23), pp.409-409.

Sebastiani, P., Farrell, J.J., Alsultan, A., Wang, S., Edward, H.L., Shappell, H., Bae, H., Milton, J.N., Baldwin, C.T., Al-Rubaish, A.M. and Naserullah, Z., (2015). BCL11A enhancer haplotypes and fetal hemoglobin in sickle cell anemia. Blood Cells, Molecules, and Diseases, 54(3), pp.224-230.

Kaplan, W., Sharma, Abhishek., Shappell, H., Kolaczyk, E.D., (2016). Insulin Trade Profile Technical Report. Health Action International.

Papers under Review

Shappell, H., Kramer, M., Chu, C., Kolaczyk, E.D., Accounting for Edge Uncertainty in Stochastic Actor Oriented Models for Dynamic Network Analysis. Under review at Journal of Computational and Graphical Statistics.

Invited Talks

2018 Methods for Longitudinal Complex Network Analysis in Neuroscience. Mathematics and Statistics Department at East Tennessee State University, Johnson City, TN.

2018 Methods for Longitudinal Complex Network Analysis in Neuroscience. Statistical Methods in Imaging Conference, Philadelphia, PA.

2018 Methods for Longitudinal Complex Network Analysis in Neuroscience. Eastern North American Region Spring Meeting, Atlanta, Georgia.

2017 Accounting for Uncertainty in Stochastic Actor Oriented Models, International Conference on Computational and Methodological Statistics, London, England.

2017 Accounting for Uncertainty in Stochastic Actor Oriented Models, New England Statistics Symposium, University of Connecticut.

2016 Dynamic Network Analysis in Resting-State fMRI for Alzheimer’s Disease, Joint Statistics Meeting, Chicago, IL.

Contributed Talks

2019 A Simulation-Based Comparison of Dynamic Connectivity Methods in fMRI, Joint Statistics Meeting, Denver, CO.

2018 Likelihood Based Dynamic Connectivity Analysis using Hidden Semi-Markov Models, Joint Statistics Meeting, Vancouver, British Columbia.

2015 Dynamic Network Analysis in Resting-State fMRI for Alzheimer’s Disease, Joint Statistics Meeting, Seattle, WA.

2011 Planarized Pascal’s Triangle mod a general prime p graphs and their properties, Joint
Mathematics Meeting, New Orleans, LA.

2010 Sierpinski Gasket Graphs mod p, Southeastern REU Minisymposium, UNC, Ashville.

Posters

2019 A Simulation-Based Comparison of Dynamic Connectivity Methods, Organization for Human Brain Mapping Conference, Rome, Italy.

2018 Likelihood Based Dynamic Connectivity Analysis using Hidden Semi-Markov Models, Organization for Human Brain Mapping Conference, Singapore.

2016 A Paradigm for Longitudinal Network Analysis over Patient Cohorts in Neuroscience, Workshop hosted by Columbia University Department of Statistics.

2016 A Paradigm for Longitudinal Network Analysis over Patient Cohorts in Neuroscience, New England Statistics Symposium, Yale University.

2016 Update on Impact of Farnesylation Inhibitors on Survival in Hutchinson-Gilford Progeria Syndrome, Progeria Research Foundation 8th International Scientific Workshop, Boston, MA.

2016 A Paradigm for Longitudinal Network Analysis over Patient Cohorts in Neuroscience, Boston University/ Keio University Probability and Statistics Workshop, Boston, MA.

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