Welcome!

About me

I am an Assistant Professor in the Department of Applied and Computational Mathematics and Statistics (ACMS) at the University of Notre Dame, IN, USA.

I am currently looking for a prospective Ph.D. student to work on theory and applications of Machine Learning and Computational Imaging. Interested individuals are requested to reach out to me over email at soham-dot-jana-at-nd-dot-edu.

Education and past affiliations

Research interests

Theoretical and methodological aspects of statistical machine learning, with particular focus on high-dimensional regimes, neural networks, mixture modeling, and distance-based estimators.

Recent papers

Xing, H., Jana, S., & Maleki, A. (2025). Minimax Analysis of Estimation Problems in Coherent Imaging. arXiv preprint arXiv:2508.18503. Paper link.

Jana, S., Yang, K., & Kulkarni, S. (2025). Adversarially robust clustering with optimality guarantees. Accepted at IEEE Transactions on Information Theory. DOI: 10.1109/TIT.2025.3628160. Paper link.

Fan, J., Jana, S., Kulkarni, S., & Yin, Q. (2025). Factor Informed Double Deep Learning For Average Treatment Effect Estimation. arXiv preprint arXiv:2508.17136. Paper link.

Jana, S., Polyanskiy, Y., & Wu, Y. (2025). Optimal empirical Bayes estimation for the Poisson model via minimum-distance methods. Information and Inference: A Journal of the IMA, Volume 14, Issue 4, December 2025, iaaf027. Paper link.

Jana, S., Fan, J., & Kulkarni, S (2025). A Provable Initialization and Robust Clustering Method for General Mixture Models. IEEE Transactions on Information Theory, vol. 71, no. 9, pp. 7176-7207, Sept. 2025, doi: 10.1109/TIT.2025.3585804. Paper link.

Chen, X., Jana, S., Metzler, C. A., Maleki, A., & Jalali, S. (2025). Multilook Coherent Imaging: Theoretical Guarantees and Algorithms. arXiv preprint arXiv:2505.23594. Paper link.