• Generalife Palace
  • Alhambra View
  • Alhambra's Night
  • Granada's Panoramic (I)
  • Granada's Panoramic (II)
  • Granada's Cathedral
  • Moorish Windows
  • Court of the Lions
  • Costa Tropical of Granada
Generalife Palace1 Alhambra View2 Alhambra's Night3 Granada's Panoramic (I)4 Granada's Panoramic (II)5 Granada's Cathedral6 Moorish Windows7 Court of the Lions8 Costa Tropical of Granada9
Slideshow Photo by WOWSlider.com v4.7

Plenary Talks

Prof. Rita Casadio

Prof. Rita Casadio
Group leader of the Bologna Biocomputing Unit
University of Bologna (UNIBO), Bologna (Italy)

Rita Casadio obtained her degree in Physics at the University of Bologna (Italy). She attended several courses both in Italy and abroad and acquired experience and theoretical background in different fields, such as Computer Science, Membrane and Protein Biophysics, Bioenergetics and Irreversible Thermodynamics.

Rita Casadio worked in several Laboratories of Biophysics in United States and Germany until 1987, when she became Assistant Professor of Biophysics at the University of Bologna (UNIBO). Since 2013 she is full professor of Biochemistry/Bioinformatics/Biophysics at this university. Rita Casadio has worked in membrane and protein biophysics, particularly particularly with bacteriorhodopsin from Halobacterium Halobium and F1F0 ATPases from mesophilic organisms, both experimentally and theoretically.

Her main research interests are currently focused on computer modelling of relevant biological processes, such as protein folding and modelling, protein-protein interactions, genome annotation, protein interaction networks, or SNPs search and annotation and their effect on protein stability. One of her major fields of research is the development of specific software for problem solving of large scale analysis of biomedical and biotechnological data out of genome sequencing or experiments on proteomes and interactomes. Methods are based on neural networks, hidden Markov models, Support Vector Machines, conditional random fields and their combinations. Her researches are devoted to different aspects of protein structure prediction, including prediction of secondary and tertiary structure, membrane protein topology, protein function, protein-protein and protein-DNA interaction, protein reaction mechanisms in biological processes and de novo design of peptides/molecules (for details see http://lipid.biocomp.unibo.it). She is the author of about 300 scientific papers and presented her work at several (over 300) national and international meetings.

Integrative Bioinformatics supporting biomedical research

Prof. Ferran Sanz
Director, Research Programme on Biomedical Informatics (GRIB)
Hospital del Mar Medical Research Institute (IMIM)
Dept. of Health and Life Sciences, Universitat Pompeu Fabra

Ferran Sanz is chemical engineer by the Institut Quimic de Sarria (Barcelona) and BSc and PhD by the Universitat Autonoma de Barcelona. Currently, he is full professor of Biostatistics and Biomedical Informatics at the Universitat Pompeu Fabra (UPF, Barcelona) and director of the IMIM-UPF joint Research Programme on Biomedical Informatics (GRIB). He has been visiting professor at Federico II (Naples), Dusseldorf and Vienna Universities.

He authored more than 130 articles in ISI-indexed journals and supervised 18 PhD thesis. He led nine EU-funded initiatives, as well as a STOA report for the European Parliament. Currently, he is coordinating an H2020 project on the translational and clinical application of Bioinformatics (MedBioinformatics), and is the academic coordinator of an IMI (Innovative Medicines Initiative) project on the in silico prediction of drug toxicity (eTOX). He is also partner in other ongoing IMI (OpenPHACTS, EMIF and iPiE) and H2020 projects (EU-ToxRisk and ELIXIR-EXCELERATE).

Ferran Sanz is academic coordinator of the Spanish Technology Platform on Innovative Medicines (PTEMI) and scientific director of Bioinformatics Barcelona (BIB). He also coordinates the Biomedical Informatics Node of the Spanish Institute of Bioinformatics (INB). He was president of the European Federation for Medicinal Chemistry (EFMC) from January 2003 to December 2005 and vice-rector for Scientific Policy of the UPF from January 2004 to March 2009.

Dr. Andreas Bender

Dr. Andreas Bender
Department of Chemistry. Centre for Molecular Informatics. Group Leader: Bender Group.
University of Cambridge.

Andreas Bender is a Lecturer for Molecular Informatics with the Centre for Molecular Informatics at the University of Cambridge. Until April 2010 he was an Assistant Professor for Cheminformatics and Pharmaceutical IT with the Leiden / Amsterdam Center for Drug Research and Head of the Pharma-IT Platform at Leiden University. In his work, he is involved with the analysis of various kinds of bioactivity data and the generation of property prediction models, mainly for small molecules..

Before assuming faculty positions, Andreas was a Presidential Postdoctoral Fellow with the Novartis Institutes for BioMedical Research in Cambridge/MA and the Broad Institute of Harvard and MIT, working on projects related to ligand-based drug design in Novartis' Lead Discovery Informatics group. His work comprised applications to predict biological targets for small molecules and approaches to chart chemical space and the relations among targets, based on the similarities of their ligands.Andreas received his PhD from the University of Cambridge (UK) developing virtual screening methods working with Prof. Robert C. Glen at the Centre for Molecular Informatics. He was a Cambridge Gates Scholar and a member of Darwin College whilst at Cambridge and did his undergraduate studies in Berlin, Dublin and Frankfurt as a German National Merit Foundation scholar. Andreas currently has more than 70 publications in the cheminformatics and bioinformatics fields to his credit and besides being a referee for more than 20 journals he serves on the editorial board of Combinatorial Chemistry and High-Throughput Screening (CCHTS).

Personal Website (including list of publications): http://www.andreasbender.de

This information is from: Andreas Bender