I am a PhD student at the MIT Operations Research Center (ORC), where I am fortunate to be advised by Professor Georgia Perakis and Professor Chara Podimata. I previously graduated from the Master of Business Analytics program at MIT ('25) and hold a Bachelor's in Economics and Computer Science from Bocconi University ('24). Outside of research, you'll usually find me playing football (soccer, for my American friends) or training outdoors.
Research interests
My research is on the reliability of large language models, which I approach from several angles, including calibration, consistency, and context management. My background is in optimization and operations research, and I enjoy bringing that perspective to these problems. I have also worked on a number of applications, such as auditing recommender and personalization systems, as well as multi-turn behavior.
Publications
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Using Agents to Automate Audits of Personalization Algorithms at Scale.
Authors: A. Morosini*, S. H. Cen*, A. Ilyas, H. Driss, A. Madry, C. Podimata. ACM Conference on Economics and Computation (EC), 2026. -
Too Sharp, Too Sure: When Calibration Follows Curvature.
Authors: A. Morosini, M. Gjika, T. Poggio, P. Beneventano. Workshop on High-dimensional Learning (HiLD) at ICML, 2026. -
ModuLearn: An Interpretable Transcriptomic Framework for Cancer
Outcome Prediction.
Authors: M. Gjika, A. Morosini, M. Panagopoulou, A. Mertzios, K. Chatzaki, G. Perakis. Preprint, 2025.