Josephs, N., Li, W., & Kolaczyk, E. D. (2021). Network Recovery from Unlabeled Noisy Samples. Accepted to Asilomar Conference on Signals, Systems, and Computers.Code

Chen, L., Josephs, N., Zhou, J., Lin, L., & Kolaczyk, E. D. (2020). A spectral-based framework for hypothesis testing in populations of networks. arXiv preprint arXiv:2011.12416.

Josephs, N., Lin, L., Rosenberg, S., & Kolaczyk, E. D. (2020). Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome. arXiv preprint arXiv:2004.04765. — Code


Thompson, L. L., Chang, M. S., Polyakov, N. J., Blum, A. E., Josephs, N., Krasnow, N. A., Yoon, J., Li, E. B., Molina, G. E., Said, J. T., Huang, K., Kuchroo, J. R., Hinton, A. N., & Chen, S. T. (2021). Prognostic significance of cutaneous immune-related adverse events in patients with melanoma and other cancers on immune checkpoint inhibitors. Journal of the American Academy of Dermatology.

Condylis, C., Lowet, E., Ni, J., Bistrong, K., Ouellette, T., Josephs, N., & Chen, J. L. (2020). Context-dependent sensory processing across primary and secondary somatosensory cortex. Neuron.


Josephs, N. (2021). Statistical Solutions for Multiple Networks. PhD dissertation.

Josephs, N. (2015). Finding Rational Solutions on a Nonsingular Cubic Surface in P^ 3. MA thesis.