EECS lecturer Dr Haim Dubossarsky has joined The Alan Turing Institute as a Turing Fellow
Dr Haim Dubossarsky joins a cohort of 51 new Turing Fellows nationwide, recognised for their outstanding contributions to data science and artificial intelligence (AI).
The Turing Fellowship is a highly competitive program that supports the careers of top researchers while advancing the Institute's goals in tackling societal challenges through science and innovation. Dr Haim Dubossarsky brings his background in computational linguistics to the Institute. He examines how languages change over time and how AI models can be used to improve both our understanding of language evolution and the effectiveness of NLP tools.
In addition to this new fellowship, we also celebrate the renewal of Turing Fellowships for Dr Emmanouil Benetos, who holds a fellowship along with Professor Maria Liakata (Faculty of Science and Engineering), who currently holds a Turing AI Fellowship. Dr Matteo Fumagalli and Dr Nicola Perra, from the Faculty of Science and Engineering, were also newly award a Turing Fellowship this year.
Professor Greg Slabaugh, Director of the Digital Environment Research Institute (DERI) and Turing Liaison for Queen Mary at The Alan Turing Institute, congratulated the awardees, stating: "We are delighted that three outstanding Queen Mary researchers have been recognised by the Alan Turing Institute under the most recent Turing Fellow call. These Fellowships are awarded to researchers with proven research excellence in data science and AI, with research areas aligned to Turing's science and innovation priorities. The Turing Fellows will help with the delivery of the Turing strategic goals whilst representing Queen Mary as active members of the Turing community.”