Research

My research focuses on developing methods for reliable uncertainty quantification in complex data settings. I am particularly interested in applications to survival analysis and biostatistics, where outcomes are often only partially observed and where uncertainty quantification is essential for scientific decision-making. I am also broadly interested in causal inference, nonparametric and semiparametric inference, survival analysis, biostatistics, and Bayesian methodology.

Projects

Doubly Robust and Efficient Calibration of Prediction Sets for Right-Censored Time-to-Event Outcomes Farina, R., Tchetgen Tchetgen, E.J., Kuchibhotla, A.K. (2026). Biometrika, Volume 113, Issue 3, asag036.

Multi-Trajectory Pseudotime Inference via Permutation Factorizations Farina, R., Agrawal, A., Wang, J., Gabitto, M., Mena, G. (2026). biorxiv:10.64898/2026.05.27.728207v1.

Dynamic Prediction for Hospital Readmission in Patients with Chronic Heart Failure Farina, R., Metelli, S., Mercier, F., Masson, S. (2025). arXiv:2512.16463.