Publications

Published or Accepted

Kagan, A., Levina, E., and Zhu, J. (2026). “Flexible Modeling of Information Diffusion through a Network with Statistical Guarantees.” Accepted to Journal of Machine Learning Research (JMLR). arXiv preprint Work received four poster awards in 2023.
Mathur, S., Kagan, A., Passaban, P., Mattoo, H., Hasanaj, E., and Bar-Joseph, Z. (2026). “Temporal Foundation Models for Clinical Transcriptomics Data.” Accepted to Bioinformatics. bioRxiv preprint
Kagan, A., MacDonald, P., Levina, E., and Zhu, J. (2026). “Latent Space Models for Grouped Multiplex Networks.” Accepted to Journal of Machine Learning Research (JMLR). arXiv preprint Honorable mention for a poster at SNAB 2024.
Noe, M., Parisi, E., Rifat, S., Navitskis, L., Conway, D., Deshmukh, A., Kagan, A., Millward, D., and Chung, E. (2024). “Comparison of 1st Year and 3rd Year ECGs in Collegiate Athletes.” Journal of the American College of Cardiology. Publication

Nano, M., Harwood, J., Kagan, A., Lukaszewicz, G., Kirschner, M., Peshkin, L., and Montell, D. (2025+). “A Kinome Inhibitor Screen Implicates Adhesion and Growth Factor Signaling in Cellular Recovery after Caspase Activation.” Under review at Frontiers in Pharmacology. bioRxiv preprint

Kagan, A., Tang, T., Levina, E., and Zhu, J. (2026+). “Cross Validation for Network Regression.” Presented at ICSDS 2025 and JSM 2026.
Kagan, A., Rata, S., Gruver, J. S., Trikoz, N., Lukyanov, A., Vultaggio, J., Ceribelli, M., Thomas, C., Gujral, T. S., Kirschner, M. W., and Peshkin, L. (2026+). “An Optimal Set of Inhibitors for Reverse Engineering via Kinase Regularization.”
Kriukov, D., Efimov, E., Kagan, A., and Peshkin, L. (2026+). “On a Universal Approach to Biological Age Estimation.”