Tijl De Bie is currently a Reader (Associate Professor) at the University of Bristol, where he was appointed Lecturer (Assistant Professor) in January 2007. Before that, he was a research assistant at the K.U.Leuven (Belgium) and the University of Southampton. He completed his PhD on machine learning and advanced optimization techniques in 2005 at the University of Leuven. During his PhD he spent research visits in Imperial College London, U.C. Berkeley, and U.C. Davis.
His main research interests include statistical pattern analysis algorithms, the use of optimization theory to design such algorithms, and their practical application to bioinformatics, music information retrieval, and web and text mining. He has widely published in these areas, and has developed software tools that are currently used in genomic laboratories.
He currently holds and ERC Consolidator grant titled "Formalising Subjective Interestingness in Exploratory Data Mining" (FORSIED).
He has been invited to lecture about pattern analysis in international conferences, and was a co-organizer of various workshops and summer schools on machine learning and pattern analysis (Current Challenges in Kernel Methods 2006, and The Analysis of Patterns in 2007 and in 2009). He is a reviewer for various top journals and conferences (e.g. JMLR, MLJ, Annals of Statistics, DAMI, KAIS, IEEE TCAS-II, IEEE TSP, Neural Computation, Neurocomputing, IEEE TNN, PRL, Bioinformatics, Biometrics, KDD, NIPS, ECML/PKDD, ICML, COLT, ALT, PSB, ESANN, AISTATS, SIAM DM...). He is a former associate editor of Neural Processing Letters and has been an area chair at ECML/PKDD 2009 and NIPS 2010.