My work examines how learning, memory, and decision-making seamlessly integrate across brains, minds, and machines. Such interdisciplinary research spans topics in cognitive science, neuroscience, data science, and education. While my research is foundational, it is designed to inform clinical research across a wide range of conditions, such as Alzheimer's disease, aging, and addiction.
Data Science in Science, 5(1), 2619222.
The Annals of Applied Statistics, 20(2), 1541–1561.
The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences.
arXiv preprint arXiv:2602.21446.
Neuropsychologia, 109396.
Journal of the American Statistical Association, 120(551), 1449–1462.
Frontiers in Education, 10, 1488892.
Proceedings of the Annual Meeting of the Cognitive Science Society, 47.
Journal of the American Statistical Association, 1–14.
Frontiers in Nutrition, 11, 1408248.
JMIR Public Health and Surveillance, 10, e47064.
AAAI Bridge Program on Continual Causality, 1–10.
Nature Communications, 13, 787.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 3600–3610.
Nature Communications, 11, 5152.
Chemical Senses, 45(7), 609–622.
Neuron, 107(2), 219–233.
Chemical Senses, 45(6), 415–422.
IU Journal of Undergraduate Research, 4(1), 82–85.
For the most up-to-date list, see Google Scholar or ORCID.