Event schedule

Dr. Davide Cirillo Barcelona Supercomputing Center

Synthetic Data in Biomedical Research: From Knowledge Discovery to Knowledge Generation

Davide Cirillo is the head of the Machine Learning for Biomedical Research Unit and Juan de la Cierva Incorporación fellow of the BSC Computational Biology group. His area of expertise is data analysis and predictive modeling for precision medicine using network biology and machine learning. His research in precision medicine includes rare diseases and paediatric cancers, as well as ethics of artificial intelligence. He is co-editor of the book Sex and Gender Bias in Technology and Artificial Intelligence: Biomedicine and Healthcare Applications (Elsevier Academic Press 2022).

Micheál Ó Dálaigh University of Galway

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Dr. Elisabeth Bik Harbers Bik LLC

Errors and Misconduct in Biomedical Research

Elisabeth Bik, PhD is a Dutch-American microbiologist who has worked for 15 years at Stanford University and 2 years in industry. Since 2019, she is a science integrity volunteer and consultant who scans the biomedical literature for images or other data of concern. She has found over 8,000 scientific papers, and her work resulted in over 1,200 retractions and another 1,000 corrections. For her work in science communication and exposing research misconduct, she received the 2021 John Maddox Prize.

Prof. Karen Miga University of California, Santa Cruz

The Human Pangenome Project: Creating a Reference that Better Represents Human Global Genetic Diversity

Throughout my career, I have developed innovative computational and experimental approaches to advance our understanding of centromeric and pericentromeric DNAs. I work at the forefront of genome technologies as part of the T2T and Pangenome initiative to construct genetic and epigenetic maps to expand our understanding of their structure and function. As a group leader, I prioritize fostering a creative and scientifically rigorous environment that supports inclusivity and diversity within our scientific team. I also prioritize training that operates at the intersection of science, justice, and equity.