Marco Frasca is an Assistant Professor of Computer Science at the University of Milan, where he is member of the Computational Biology and Bioinformatics Lab (AnacletoLab). His primary research interests include Artificial Intelligence in Biology & Medicine, particularly Deep Learning; Convolutional Neaural Networks Compression; Learned Indexes; Learning with Imbalanced Data. He contributed to consolidate the application of Hopfield networks to classification and ranking problems with the development of nonel single- and multi-task parametric Hopfield models. He holds a Ph.D. (2012) in Computer Science from the University of Milan - Milan, Italy. Before his current appointment, he served the The Department of Biosciences of University of Milan as a Lecturer. He has held short-term research visits at Royal Holloway University, London, UK (2019), the IMB of Johannes Gutenberg University, Mainz, Germany (2017), and the Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Canada (2015). He is a Member of the CINI National Laboratory in Artificial Intelligence and Intelligent Systems (AIIS), of the CINI National Laboratory CINI of Big Data, and of the Bioinformatics Italian Society (BITS). He has numerous collaborations with international research groups, including the Institute for Medical and Human Genetics Charite of Berlin, the Jackson Laboratory for Genomic Medicine of Farmington, USA, and the Department of Computer Science of the Royal Holloway University of London.
For more information please visit: http://frasca.di.unimi.it/ or the AnacletoLab website: https://anacletolab.di.unimi.it/