UNIVERSITAT AUTÒNOMA DE BARCELONA (UAB)
The Autonomous University of Barcelona (UAB) is a prominent institution in Spain, ranked 176th in the QS 2012 global rankings. It hosts a diverse community of 45,000 students and 4,200 staff members. UAB is active in a range of European and global research projects, establishing itself as a hub of academic and research excellence.
The Biostatistics Unit at UAB focuses on the statistical analysis of biological and health data. It offers specialized training in biostatistics and bioinformatics across multiple disciplines, including Medicine, Nursing, Physiotherapy, Biomedical Sciences, Veterinary Science, and Environmental Sciences. This interdisciplinary approach equips students with important skills for professional careers in medical and environmental research. The teaching programs within the unit cover Biostatistics and Bioinformatics in the degrees of Medicine, Nursing, and Physiotherapy; Public Health in Science and Food Technology; Environmental Epidemiology and Risk Management in Environmental Sciences; and advanced topics like Big Data Analysis and Advanced Modelling in Applied Statistics.
In research, the unit specializes in standard applied statistics and epidemiological methodologies for a wide range of study designs, including clinical trials, meta-analysis, predictive modelling, and cohort and case-control studies. Additionally, it applies artificial intelligence systems to process medical data, providing relevant insights that improve health outcomes and enhance patient care. In this context, computational tools such as statistical methods and analyses of genes, sequences, and proteins (translational bioinformatics) are used, improving the integration of biological research with clinical applications.
The Universitat Autònoma de Barcelona (UAB) plays an important role several work packages within the LIVERAIM project. UAB will contribute to WP 1 by creating a central data warehouse to store and integrate heterogeneous information from various cohorts, as well as participating in the analysis of the accuracy of serum biomarkers. For WP3, UAB will participate in the integration of data from WP1 and WP2, helping in the development of an AI-powered personalized screening platform for the early diagnosis of liver fibrosis. Additionally, UAB will take on a pivotal role in Work Package 8, coordinating the data management plan.
TEAM MEMBERS
Ferran Torres
Ferran Torres (MD, PhD) has over 27 years of experience in clinical study design and analysis, specializing in Clinical Pharmacology and Biostatistics. He formerly led the Medical Statistics core facility at IDIBAPS-Hospital Clinic Barcelona and is now a full professor at the Autonomous University of Barcelona. He has extensively taught biostatistics and research methodology, and serves as a consultant to national and European Medicine Agencies.
Dan Ouchi
Dan Ouchi is a biostatistician and data science specialist at Autonomous University of Barcelona (UAB). He is involved in several research fields such as epidemiology, data omics, pharmacoepidemiology, and clinical trials, and is particularly interested in analysing big datasets and to define standards for their management, cleaning, and analysis.
Enrique Caro
Enrique Caro is a biomedical researcher and data analyst at the Autonomous University of Barcelona (UAB). He has background in both Biomedical Sciences and Mathematics. His expertise focuses on the management and analysis of large datasets, aiming to enhance data handling techniques in biomedical research.
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