Tameem Adel was a research fellow at LCFI from 2017 - 2020 when he left to take up a lectureship at the University of Glasgow. His main research interests are machine learning and artificial intelligence, more specifically probabilistic graphical models, Bayesian learning and inference, medical applications of machine learning, deep learning and domain adaptation. He has also worked on developing transparent machine learning algorithms and on providing explanations of decisions taken by deep models.
He has obtained his PhD from University of Waterloo in 2014, advised by Prof. Ali Ghodsi. After that, he was a postdoctoral researcher at the Amsterdam Machine Learning Lab, advised by Prof. Max Welling.Back to people