Dr. Andrea Patane

Andrea is an Assistant Professor at the School of Computer Science and Statistics, Trinity College Dublin, in the discipline of Software and Systems. Before coming to Trinity, he held a postdoc position in the Department of Computer Science at the University of Oxford, where he also got his PhD while enrolled in the Autonomous Intelligent Machines and Systems Centre for Doctoral Training. Andrea's research interests centre on safety and robustness for artificial intelligence models, with a particular emphasis on healthcare applications and uncertainty. In his work he has developed formal techniques based on optimisation, stochastic process theory, and discrete mathematics for the analysis, verification and synthesis of probabilistic and deep learning techniques under a variety of different settings, including adversarial, fairness and interpretability. His current research focus centre around the further understanding of fairness, privacy and interpretability, as well as the exploitation and development of Bayesian techniques to enhance the reliability, safety and personalisation of deep learning models in medical settings.

  Artificial Intelligence   BAYESIAN INFERENCE   deep learning   Health informatics   MENTAL-HEALTH   OPTIMISATION   Program Verification