Alessandro Moschitti is a professor of the CS Department of the University of Trento, Italy. He is currently a Principal Research Scientist of the Qatar Computing Research Institute (QCRI), within the Hamad Bin Khalifa University.
He has worked as (i) an research fellow for the University of Texas at Dallas, (ii) as a visiting professor for the University of Columbia (NY), Colorado and John Hopkins and (iii) as visiting researcher at the IBM Watson Research center (participating at the Jeopardy! Challenge) and at MIT-CSAIL.
His expertise concerns theoretical and applied machine learning (ML) in the areas of Natural Language Processing (NLP), Information Retrieval (IR) and Data Mining. He has devised innovative structural kernels and neural networks for advanced syntactic/semantic processing, documented by more than 260 scientific articles published in NLP, IR and ML communities.
He has been the General Chair of EMNLP 2014, a PC co-chair of CoNLL 2015, an action editor of TACL, and on the editorial board of MLJ, JAIR and JNLE. He has received four IBM Faculty awards, one Google Faculty award, five best paper awards and the best researcher award from Trento University. He has lead many projects, currently is the PI (QCRI side) of a large collaboration project between MIT CSAIL and QCRI.