Research Interests

• High-dimensional statistics

• Graphical models and network data

• Fluctuation theory and dependent observations

• Random matrix theory

• Statistical problems in single-cell genomics

Publications

1. Soham Bonnerjee, Zhen Wei (Kingsley) Yeon, Anna Asch, Sagnik Nandy, and Promit Ghosal. “How Private is Your Attention? Bridging Privacy with In-Context Learning.” Transactions on Machine Learning Research, 2026.

2. Dominik Meier, Shixing Yu, Sagnik Nandy, Promit Ghosal, and Kyra Gan. “Clustering by Denoising: Latent Plug-and-Play Diffusion for Single-Cell Data.” In Proceedings of the International Conference on Learning Representations (ICLR), 2026.

3. David Kogan, Sagnik Nandy, and Jiaoyang Huang. “Extremal Eigenvalues of Random Kernel Matrices with Polynomial Scaling.” Random Matrices: Theory and Applications, 14(4):2550020, 2025.

4. Sagnik Nandy and Subhabrata Sen. “Bayes Optimal Learning in High-Dimensional Linear Regression with Network Side Information.” IEEE Transactions on Information Theory, 71(1):565–591, 2025.

5. Anirban Chatterjee, Sagnik Nandy, and Ritwik Sadhu. “Detecting Planted Partition in Sparse Multilayer Networks.” Information and Inference: A Journal of the IMA, 13(3):iaae019, 2024.

6. Sagnik Nandy and Bhaswar B. Bhattacharya. “Degree Heterogeneity in Higher-Order Networks: Inference in the Hypergraph β-Model.” IEEE Transactions on Information Theory, 70(8):6000–6024, 2024.

7. Arnab Auddy^*, Nabarun Deb^*, and Sagnik Nandy^*. “Exact Detection Thresholds and Minimax Optimality of Chatterjee’s Correlation Coefficient.” Bernoulli, 30(2):1640–1668, 2024.

8. Zongming Ma and Sagnik Nandy. “Community Detection with Contextual Multilayer Networks.” IEEE Transactions on Information Theory, 69(5):3203–3239, 2023.

Preprints

1. Sagnik Nandy^*, Wanyi Ling^*, and Nikolaos Ignatiadis. “How Does limma-trend Work? An Empirical Partially Bayes Perspective.” arXiv preprint arXiv:2605.21304, 2026.

2. Bibhabasu Mandal and Sagnik Nandy. “Privacy–Utility Trade-Offs for Parameter Estimation in Degree-Heterogeneous Higher-Order Networks.” arXiv preprint arXiv:2602.03948, 2026.

3. Sagnik Nandy and Zongming Ma. “Multimodal Data Integration and Cross-Modal Querying via Orchestrated Approximate Message Passing.” arXiv preprint arXiv:2407.19030, 2024.

4. Abhinav Chakraborty^*, Sayak Chatterjee^*, and Sagnik Nandy^*. “PriME: Privacy-Aware Membership Profile Estimation in Networks.” arXiv preprint arXiv:2406.02794, 2024.

^* Equal contribution.

See also my Google Scholar profile.