Alessandro Morari leads the Data Centric System Software team in the Data Centric Systems department at IBM Research. This team performs research and development of software at the intersection between large scale scientific computing and next generation data-centric computing. His main interests are: Data-centric computing, Large Scale Machine Learning, Performance and Statistical Modeling. Currently, he is investigating the use of High Performance Computing techniques to accelerate the software stack of large scale workloads, with a particular focus on data intensive and machine learning algorithms.
He is currently teaching a graduate course about High Performance Machine Learning at New York University. He has published extensively in international conferences and journals, and he is currently involved in several governmental and academic projects. He and his team have also been involved in the development of data-intensive system software for the CORAL supercomputers commissioned by the US Department of Energy.
He holds a Ph.D. in Computer Architecture from the Polytechnic University of Catalonia, a M.Sc. in Computer Engineering for the University of Rome Tor Vergata, and a B.Sc. in Computer Engineering from the Roma Tre University.