Claudia is a computer scientist and AI researcher at the Barcelona Supercomputing Center, specializing in performance evaluation now on AI within health and biomedicine related applications. With a background spanning software engineering, product management, and AI research, she brings both technical expertise and practical experience in building and assessing responsible AI systems.
Passionate about Diversity, Equity, and Inclusion in technology, she focuses on developing rigorous evaluation frameworks that ensure AI systems operate fairly and effectively across diverse populations. Through this course, she aims to equip participants with critical skills for identifying and addressing AI evaluation; bridging technical innovation with critical thinkin
Davide Cirillo is the head of the Machine Learning for Biomedical Research Unit at the Life Sciences Department of the Barcelona Supercomputing Center (BSC) and co-founder of the OneCareAI spinoff of BSC. He received the MSc degree in Pharmaceutical Biotechnology from University of Roma ‘La Sapienza’, Italy, and the PhD degree in Biomedicine from Universitat Pompeu Fabra (UPF) and Center for Genomic Regulation (CRG) of Barcelona, Spain. His research focuses on computational methods for precision medicine with a special emphasis on machine learning, network science, and ethics of artificial intelligence. He is a member of the ELIXIR Machine Learning Focus Group, co-leads the research subgroup of BSC Bioinfo4Women initiative, and is a scientific advisor to the Swiss non-profit Women’s Brain Foundation. He is co-editor of the book “Sex and Gender Bias in Technology and Artificial Intelligence: Biomedicine and Healthcare Applications” (Elsevier Academic Press, 2022).
Carolina Belver is a researcher at the Barcelona Supercomputing Centre. She holds a PhD in Physics and has worked at international research centres such as CERN and the University of Bern in the field of particle accelerators applied to medicine. She later joined the industry, working with X-ray-based imaging technologies and artificial intelligence. She currently combines the fields of health and artificial intelligence in the international and multidisciplinary AHEAD project, which focuses on evaluating AI models in health from technical, social, legal and ethical perspectives. At the same time, she coordinates the communication group at Bioinfo4Women, an initiative of the Life Sciences Department at the BSC, which promotes the integration of sex and gender dimensions in biocomputing research and other fields.
María Morales is a Research Scientist in the Social Link Analytics group at Barcelona Supercomputing Center. She holds a Master’s degree in Biochemistry and a Master’s degree in Biotechnology from the University of Málaga and the International University of Andalucia, as well as a Master’s degree in Bioinformatics Applied to Personalized Medicine and Health from the Carlos III Health Institute.
She has developed her professional career in the private sector, working at companies specialized in genetic diagnostics such as Genetaq and Imegen, where she focused on pipelines development, bioinformatic analysis, and web development. Subsequently, she worked as a researcher at the Josep Carreras Institute, focusing on sex-aware genomic analysis and research application development.
Currently, she is part of the Bioinfo4Women coordination group, dedicated to raising awareness and mitigating sex and gender biases in health. Her work focuses on evaluating artificial intelligence models from a multidisciplinary approach and analyzing health data and integrating technical, social, and gender dimensions.
BSc in Biotechnology and MSc in Biological Anthropology. Business Development Director at ProtoQSAR (SME specializing in computational chemistry, drug design and development, structural bioinformatics, and computational toxicology). Currently a PhD candidate at UPF (Lab of Genomics of Individuality, Institute of Evolutionary Biology). Co-director and curator of the cultural project “Una Mirada LGTBIQA+” (“A Queer Gaze”), with exhibitions, interventions, and trainings, in many museums and research centers, and codirector of the outreach event “BCNspiracy”. Director of the science outreach event “BCNspiracy” (since 2017, 1000 yearly attendants). Responsible for the European project “INCLUDE” (about intersectional gender equality plants) and former secretary general (2018-2025) at PRISMA “LGBTIAQ+ Science”. Previously served as a project manager and business developer at Anaxomics (bioinformatics, systems biology), associate professor at UAB (Dept. of Biological Anthropology), responsible for European projects and coordinator of Bioinformatics Barcelona (a consortium related to bioinformatics), and scientific communication technician at UPF (project “La ciència al teu món”). Board member of the Spanish Association for Science Communication (AEC2), the Catalan Association for Science Communication (ACCC) and the Biotechnology Communicators Association (ComunicaBiotec), and collaborator with the science outreach associations “Hablando de Ciencia” and “Scenio”.
Olivier Philippe is a Research Scientist at the Barcelona Supercomputing Center (BSC), specializing in computational techniques applied to social phenomena, with a focus on social networks and disinformation. His work seeks to understand human behavior through the lenses of psychology, sociology, and social networks.
Since 2025, he has been part of the Social Link Unit within the Life Sciences Department at BSC. His current projects include studying the dissemination of fake news related to health within international collaborations, analyzing gender issues in biological literature using large language models (LLMs), and investigating the impact of climate change in Catalonia on mental health. These interdisciplinary efforts integrate computational techniques with social and environmental sciences to address pressing global challenges.
From 2021 to 2024, Olivier worked as a Research Engineer in the same unit at BSC, focusing on developing data science approaches to explore and counteract the spread of disinformation.
In 2020 and 2021, he served as a Data Scientist for DATAPOP in the Department of Communication at the University of Pompeu Fabra. His work involved data mining and creating innovative methodologies to analyze social network communications on various political debates. He also deployed fine-tuned transformer models and clustering methods to derive insights from large datasets.
