He is interested in unraveling the role of genomics on human health and disease and to apply and develop novel data-analytical models using ML and probabilistic methods to analyze, integrate and interpret diverse, complex and large-scale genomic datasets. For more info see: https://orcid.org/0000-0003-3838-8664, and https://scholar.google.com/citations?user=X097-20AAAAJ&hl=en

The main interests of his research group are:

  • Bioinformatics and Computational Biology
  • Machine Learning and Advanced Data Analytics applied to Biology
  • Transcriptomics

Pedro G. Ferreira, pgferreira@fc.up.pt
Faculty of Sciences of University of Porto
Department of Computer Science
Rua do Campo Alegre
4169-007 Porto, Portugal
Phone: +351 220402 959

Doctoral candidate to be selected

ESR 8: Deep Neural Networks, AI, and Bayesian Analysis of mixed biological trace evidence

Doctoral Program in Computer Sciences, Faculty of Sciences of the University of Porto, Portugal
Supervisor: Pedro G Ferreira, FCUP
Co-supervisor: Nádia Pinto, i3S/UP

Her research has been focused in the development of mathematical and statistical models for a wide range of research problems in the field of population genetics. Her expertise and knowledge have been applied in problems regarding the genetic characterization of human populations, human and nonhuman forensic genetics, mutation and kinship modeling, and in multimodal studies of neurological diseases. For more info see: https://www.cienciavitae.pt/portal/en/8513-1E3D-E6A9 , https://orcid.org/0000-0002-1903-4206 , https://www.linkedin.com/in/nadia-pinto-95ab9677/ , https://www.scopus.com/authid/detail.uri?authorId=9278025300

The main interest of her research group is understanding the origin, evolution and consequences of genetic diversity, using a variety of model systems and approaches under the perspective of population genetics theory.

Nadia Pinto, npinto@i3s.up.pt
Instituto de Investigação e Inovação em Saúde da Universidade do Porto
Population Genetics and Evolution Group
Rua Alfredo Allen, 208
4200-135 Porto, Portugal
Phone: +351 226 074 900