Organization profile
Organization profile
The Center for Statistics and Machine Learning (CSML) is Princeton University’s focal point for data science education and research on campus.
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Dive into the research topics where Center for Statistics & Machine Learning is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
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Profiles
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Age-related nigral downregulation of the Parkinson’s risk factor FAM49B primes human microglia for inflammaging
Martin, J., Lai, G. J., Park, C. Y., West, C., Van Brunt, T., Ahmed, S., Lawal, S., Dickson, M., Russo, T., Akmentin, W., Weiner, M., Hobel, Z. B., Kolisnyk, B., Plotkin, J. L., Troyanskaya, O. G. & Riessland, M., Dec 2026, In: npj Aging and Mechanisms of Disease. 12, 1, 1.Research output: Contribution to journal › Article › peer-review
Open Access -
AI-Enhanced Semantic Feature Norms for 786 Concepts
Suresh, S., Mukherjee, K., Giallanza, T., Yu, X., Patil, M., Cohen, J. D. & Rogers, T. T., Apr 2026, In: Topics in Cognitive Science. 18, 2, e70037.Research output: Contribution to journal › Article › peer-review
Open Access -
A Multiple-Well Framework for Human Perceptual Decision-Making
Fluegemann, J., Huang, J., Rosendahl, M. L., Busemeyer, J. & Cohen, J. D., Feb 2026, In: Entropy. 28, 2, 232.Research output: Contribution to journal › Article › peer-review
Open Access