Matteo Sesia

Assistant Professor of Data Sciences and Operations

PhD, Statistics, Stanford University (advisor: Emmanuel Candès); MS, Physics of Complex Systems, Politecnico di Torino (Italy); BS, Engineering Physics, Politecnico di Torino.

Matteo Sesia is an assistant professor in the department of Data Sciences and Operation, at the USC Marshall School of Business. His research is focused on developing data science methods combining the power of machine learning algorithms with the reliability of rigorous statistical guarantees. While pursuing this goal, he enjoys dividing his time between theoretical, methodological, computational, and applied work. His doctoral research earned the Jerome H. Friedman Applied Statistics Dissertation Award from the Stanford Statistics Department in 2020.
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Matteo Sesia, Hoelzen, Karl Sander, Dhruvajyoti Roy, Emile Rijcken, Alexander Schnabel, Benjamin Strücker, Mazen Juratli, Andreas Pascher () "Robotic-assisted esophagectomy leads to significant reduction in postoperative acute pain: A retrospective clinical trial ,"  Under review.
Matteo Sesia, Yaniv Romano () "Conformal histogram regression ,"  Advances in Neural Information Processing Systems 34 (NeurIPS 2021) .
Azadeh Fayazi, Matteo Sesia, Kanwaljeet Anand () "Hyperoxemia Among Pediatric Intensive Care Unit Patients Receiving Oxygen Therapy ,"  J Pediatr Intensive Care.
Matteo Sesia, Shuangning Li, Yaniv Romano, Emmanuel Candes, Chiara Sabatti () "Searching for robust associations with a multi-environment knockoff filter ,"  Biometrika, asab055.
Matteo Sesia, Stephen Bates, Emmanuel Candes, Jonathan Marchini, Chiara Sabatti () "False discovery rate control in genome-wide association studies with population structure ,"  Proceedings of the National Academy of Sciences of the United States of America  118, e2105841118.
Matteo Sesia, Shuangling Li, Zhimei Ren, Chiara Sabatti () "Transfer learning in genome-wide association studies with knockoffs ,"  Sankhya (under review).
Matteo Sesia, Charmaine Chia, Stefanie Jeffrey, Jennifer Dionne, Emmanuel Candes, Roger Howe () "Interpretable Classification of Bacterial Raman Spectra with Knockoff Wavelets ,"  IEEE Journal of Biomedical and Health Informatics .
Matteo Sesia, Stephen Bates, Emmanuel Candes, Lihua Lei, Yaniv Romano () "Testing for Outliers with Conformal p-values ,"  Annals of Statistics (in revision).
Matteo Sesia, Yaniv Romano, Emmanuel Candes () "Classification with Valid and Adaptive Coverage ,"  Advances in Neural Information Processing Systems 33 (NeurIPS 2020) .
Stephen Bates, Matteo Sesia, Chiara Sabatti, Emmanuel Candes () "Causal inference in genetic trio studies ,"  Proceedings of the National Academy of Sciences of the United States of America  117, 24117-24126.