“My teaching and research focus on data analysis techniques for decision making under uncertainty.”
Aryana Arsham
Assistant ProfessorData Science
Aryana Arsham is Assistant Professor of Data Science at ˮAV˵ College. She earned her Ph.D. in Statistics from the University of Maryland, Baltimore County in 2019. She then completed her post-doctoral training at the National Cancer Institute. Her research interests are in computational statistics and data analysis.
Publications
. Journal of Environmental Radioactivity, 282, 107595. (2025). Kendall GM, Appleton
JD, Chernyavskiy P, Arsham A, Little MP.
. Solar Physics, 299(9):131. (2024). Narock T, Pal S, Arsham A, Narock A, Nieves-Chinchilla T.
. Statistical Methods in Medical Research, 32(9), 1799-1810. (2023). Rosenberg PS, Filho AM, Elrod J, Arsham A, Best AF, Chernyavskiy P.
. Statistics in Medicine, 42(22), 3936-3955. (2023). Arsham A, Bebu I, Mathew T.
. Scientific Reports, 12(1), 15113. (2022). Little MP, Rosenberg PS, Arsham A.
. The New England Journal of Statistics in Data Science, 1-16. (2022). Arsham A, Rosenberg
PS, Little MP.
. Journal of Statistical Theory and Practice, 16(2). (2022). Arsham A, Bebu I, Mathew T.
. International Journal of Radiation Biology, 97(6), 866–873. (2021). Milder CM, Kendall GM, Arsham A, Schollnberger H, Wakeford R, Cullings HM, Little MP.
Conference Presentations
Machine learning techniques as a means of improving dosimetry in studies of indoor
gamma-ray dose rates – strengths, weaknesses and implications for epidemiology
M.P. Little, J.D. Appleton, P. Chernyavskiy, A. Arsham A, G.M. Kendall
Radiation Research Society's 70th Annual Meeting (September 2024)
Effects of stopping criterion on the growth of trees in regression random forests
with application to cancer epidemiology
M.P. Little, P.S. Rosenberg, A. Arsham
Joint Statistical Meetings (August 2023)
Probabilistic metrics for cost-effectiveness analysis under multiple effectiveness
measures
A. Arsham, I. Bebu, T. Mathew
42nd Annual North American Meeting (October 2020)
Machine Learning methods used to model UK background gamma ray data and associated
low dose childhood cancer risk
A. Arsham, R. Wakeford, M.P. Little, G.M. Kendall
Radiation Research Society’s 66th Annual Meeting (October 2020)
Effects of stopping criterion in the growth of trees in regression random forests
A. Arsham, P.S. Rosenberg, M.P. Little
Joint Statistical Meetings 2020 (August 2020)