Philip Bille
Philip Bille is associate professor in the Algorithms, Logic, and Graph Theory group at the Technical University of Denmark, Department of Applied Mathematics and Computer Science (DTU Compute). His scientific interest is in algorithms and data structures with focus on pattern matching, data compression, and parallelism in modern computer architectures. He is the deputy head of the Center for Compressed Computing and the head of the Research Academy at DTU Compute.
Nataša Pržulj
Nataša Przulj is professor of biomedical data science at the Department of Computer Science at University College London. She is recognized for initiating extraction of biomedical knowledge from the wiring patterns (topology, structure) of "Big Data" real-world molecular (omics) and other networks. That is, she views the wiring patterns of large and complex omics networks, disease ontologies, clinical patient data, drug-drug and drug-target interaction networks etc., as a new source of information that complements the genetic sequence data and needs to be mined and meaningfully integrated to gain deeper biomedical understanding. Her recent work includes designing machine learning methods for integration of heterogeneous biomedical and molecular data, applied to advancing biological and medical knowledge. She also applies her methods to economics.
Rossano Venturini
Rossano Venturini is assistant professor in the Department of Computer Science at the University of Pisa. His research focusses on compressed data structures, for which he won the Best PhD Thesis award from the Italian Chapter of the EATCS in 2012, and information retrieval, for which he won the Best Paper award at SIGIR 2014 and 2015. He was program committee co-chair for SPIRE 2017 in Palermo.