Education:
Ph.D., Biostatistics
University of Pennsylvania
Advisors: Drs. Kristin Linn and Russell [Taki] Shinohara
Thesis Title: Statistical Methods for Multi-Modal Image Analysis with Applications in Multiple Sclerosis and Neurodevelopment
(anticipated May 2020)
M.S., Biostatistics
University of Pennsylvania
Advisor: Dr. Russell [Taki] Shinohara
Thesis Title: MIMoSA: An Automated Method for Intermodal Segmentation Analysis of Multiple Sclerosis Brain Lesions
(2017)
B.A., Biology and Statistics (Honors)
University of Connecticut
Advisor: Dr. Ofer Harel
Thesis Title: Estimating Causal Effects in Incomplete Observational Studies Using Multiple Imputation and Propensity Score Analysis: A Simulation Study
(2015)
Select Publications:
Valcarcel, A.M., Muschelli, J., Pham, D., Calabresi, P., Martin, M.L., Yushkevich, P., Calabresi, P.A., Bakshi, R., & Shinohara, R.T. (2019). TAPAS: Threshold Adjustment to Probability Map Automatic Segmentation. Under revision, NeuroImage: Clinical.
Valcarcel, A.M., Linn, K.A., Khalid, F., Vandekar, S.N., Tauhid, S., Satterthwaite, T.D., Muschelli, J., Bakshi, R., Shinohara, R.T.: MIMoSA: An Approach to Automatically Segment T2 Hyperintense and T1 Hypointense Lesions in Multiple Sclerosis. In: Crimi, A., Bakas, S., Kuijf, H., Keyvan, F., Reyes, M., and van Walsum, T. (eds.) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. pp. 47–56. Springer International Publishing (2019).
Valcarcel, A.M., Linn, K.A., Khalid, F., Vandekar, S.N., Tauhid, S., Satterthwaite, T.D., Muschelli, J., Martin, M.L., Bakshi, R., Shinohara, R.T.: A dual modeling approach to automatic segmentation of cerebral T2 hyperintensities and T1 black holes in multiple sclerosis. NeuroImage: Clinical. 20, 1211–1221 (2018).
Valcarcel, A.M., Linn, K.A., Vandekar, S.N., Satterthwaite, T.D., Muschelli, J., Calabresi, P.A., Pham, D.L., Martin, M.L., Shinohara, R.T.: MIMoSA: An Automated Method for Intermodal Segmentation Analysis of Multiple Sclerosis Brain Lesions. Journal of Neuroimaging. 28, 389–398 (2018).
Valcarcel, A., Grinde, K., Cook, K., Green, A., Tintle, N.: A multistep approach to single nucleotide polymorphism–set analysis: an evaluation of power and type I error of gene-based tests of association after pathway-based association tests. BMC Proc. 10, 349–355 (2016).
For a complete listing of my publications please check out my Google Scholar Page.
Experience:
Graduate Student (2015 - present)
University of Pennsylvania
Teaching Assistant (2016 - 2018)
University of Pennsylvania
Research Assistant (2014-2015)
Dordt College Research Internship in Statistical Genetics
Programming:
Expertise: R
Working Knowledge: SAS, bash scripting, MATLAB, Stata, HTML, css, SQL
Applications: LaTeX, Microsoft Office, RMarkdown, knitr, RMarkdown, StatWeave, GitHub
Select Service and Leadership:
Council for Emerging and New Statisticians (CENS) (2017-2020)
Eastern North American Region (ENAR) Regional Advisory Board (RAB)
Digital Program Chair (2018-2019)
Eastern North American Region (ENAR) Spring Meeting
Recruitment Committee Representative (2016-2020)
University of Pennsylvania Department of Biostatistics, Epidemiology, and Informatics