Talk 1

One Day Meeting on Advanced Statistics Topics

CIDMA- University of Aveiro

Speaker: Lisete Sousa - CEAUL& Faculdade de Ciências da Universidade de Lisboa

Title of the talk: Statistical Challenges in the Analysis of Complex Omics Data: From Microarrays to Artificial Intelligence

Abstract: Since the end of the 20th century, high-throughput technologies have transformed research in biology, posing new challenges for statistical analysis. This talk traces the evolution from microarrays to sequencing and the integration of different omics, highlighting the contributions of statisticians who have shaped this field over the last 25-30 years. Using examples from plant biology and human health, the talk discusses high dimensionality with few replicates, multiple testing, missing data and pattern recognition. It also addresses the role of artificial intelligence and the challenges of validation and interpretation. This talk invites reflection on the transformation of complex biological data into robust knowledge, emphasising the importance of experimental design and the quantification of uncertainty.

Lisete Sousa is an Associate Professor in the Department of Mathematical Sciences at the Faculty of Sciences of the University of Lisbon, as well as being a researcher at the Centre of Statistics and its Applications (CEAUL). She holds a degree in Statistics and Operations Research and a Master’s and PhD in Probability and Statistics, all of which were awarded by the Faculty of Sciences of the University of Lisbon (FCUL). Her research focuses on the statistical analysis of high-dimensional omics data and addresses challenges such as normalisation, feature selection and classification. Her work has applications in biology, biomedicine and public health. She served as Director of the Master's in Biostatistics and Director of CEAUL from 2017 to 2022. She is currently Vice-Director of CEAUL, Vice-President of the Portuguese Statistical Society (SPE) and Associate Editor of REVSTAT - Statistical Journal

ORCID: 0000-0002-2114-720X

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