Daniele Schiavazzi

Associate Professor

Applications (AI and Machine Learning) , Applied & Interdisciplinary Statistics (Statistics and Data Science), Mathematical and Computational Biology (Applied Mathematics), Methodology & modeling (Statistics and Data Science), Numerical Analysis and Partial Differential Equations (Applied Mathematics), Scientific ML and AI (AI and Machine Learning)

Ph.D., Universita' degli Studi di Padova, Italy
B.Eng., Universita' degli Studi di Padova, Italy (Summa cum laude)

Dr. Schiavazzi is an Associate Professor in the ACMS Department, and a Concurrent Associate Professor in the AME Department at the University of Notre Dame. He graduated with honors and received a Ph.D. degree in Applied Mathematics from Universita' degli Studi di Padova, Italy. Dr. Schiavazzi completed his Ph.D. thesis as a Visiting Researcher at Stanford University, followed by a Postdoctoral position at University of California, San Diego and Stanford University. His main research interests are in stochastic analysis, multi-resolution approximation, numerical modeling and finite element analysis, adaptive Markov chain Monte Carlo estimation and use of computational models to inform clinical decision making under uncertainty.