About
Noam’s research is concerned with learning, reading, and their intersection, mostly from the prism of individual-differences. His most recent work deals primarily with how individuals differ from one another in their literacy skills given their learning capacities and the properties of their native language’s writing system. This work involves the development of computational tools to mathematically quantify the structure of writing systems, and the use of behavioral, eye-tracking, and neurobiological methods to unveil the computations available to learners as they assimilate this structure.
Selected Publications
Siegelman, N., Rueckl, J. G., Steacy, L. M., Frost, S. J., van den Bunt, M., Zevin, J. D., Seidenberg, M. S., Pugh, K. R., Compton, D. L., & Morris, R. D. (2020). Individual differences in learning the regularities between orthography, phonology and semantics predict early reading skills. Journal of Memory and Language.
Siegelman, N., Schroder, S., Acarturk, C., Alexeeva, S, Amenta, S., An, H., Bertram, R., Bondarini, R., Brysbaert, M., Chernova, D., Da Fonesca, S. M., Dirix, N., Duyck, W., Fella, A., Frost, R., Gattei, C., Kalaitzi, A., Kwon, N., Marelli, M., … Kuperman, V. (2022). Expanding horizons of cross-linguistic research on reading: The Multilingual Eye-movement Corpus (MECO). Behavior Research Methods.
Siegelman, N., van den Bunt, M., Lo, J. C. M., Rueckl, J. G., & Pugh, K. R. (2021). Theory-driven classification of individuals with and without reading difficulties using Bayesian latent-mixture models. NeuroImage.
Siegelman, N., Bogaerts, L., Christiansen, M.H., & Frost, R. (2017). Towards a theory of individual differences in statistical learning. Philosophical Transactions of the Royal Society B: Biological Sciences.
Siegelman, N., & Frost, R. (2015). Statistical learning as an individual ability: Theoretical perspectives and empirical evidence. Journal of Memory and Language.
Selected Awards
2022-present: Azrieli Early Career Faculty Fellowship
2020-2021: Israel Science Foundation (ISF) postdoctoral fellowship
2018-2019: Rothschild Yad-Hanadiv postdoctoral fellowship
2019: Alex Berger award for an outstanding Ph.D. dissertation (Hebrew University)
Teaching
Courses taught in the last 5 years (B.A., M.A.)
2022-present: Statistics for Graduate Students: From t-tests to Mixed-Effect Models
2022-present: Field Work: Individual Differences in Learning and High-Level Cognitive Abilities
2022-present: Research Methods for Cognitive Sciences
2018: A Hands-on Tutorial: Mixed-effect Models in R
2015-2018: Research Methods for Cognitive Sciences