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. 12, 1, 1.Research output: Contribution to journal › Article › peer-review
Open Access -
A New Path to Integrated Learning and Communication (ILAC): Large AI Models Leveraging Hyperdimensional Computing
Xu, W., Yang, Z., Ng, D. W. K., Schober, R., Vincent Poor, H., Zhang, Z. & You, X., 2026, (Accepted/In press) In: IEEE Transactions on Communications.Research output: Contribution to journal › Article › peer-review
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An Integrated Sensing and Communication System for Time-Sensitive Targets with Random Arrivals
Nikbakht, H., Eldar, Y. C. & Vincent Poor, H., 2026, (Accepted/In press) In: IEEE Journal on Selected Areas in Communications.Research output: Contribution to journal › Article › peer-review