Bárbara Oliveiros is an Assistant Professor at the Faculty of Medicine of the University of Coimbra (FMUC). She graduated in Mathematics - Operational Research branch in 1994 (Faculty of Sciences and Technology, University of Coimbra), completed her Master's degree in Health Management and Economics in 2007 (Faculty of Economics, University of Coimbra) and completed her PhD in Health Sciences - Biomedical Sciences branch in 2015 (Faculty of Medicine, University of Coimbra). She was at the origin of FMUC's Biostatistics and Medical Informatics Laboratory and plays an active role in its activities and management, having also co-founded Spiral Data Lda, a spin-off specializing in Data Science, being its Chief Scientific Officer. She has recently been involved in the creation and development of LIAS, FMUC's Data Science and Artificial Intelligence Laboratory. Bárbara Oliveiros has 30 years of experience in biostatistics research, both in basic research ("in vitro" and "in vivo" studies) and also in translational research in human studies, as well as in clinical and in “in silico” studies. Another area of expertise is in meta-analysis, being one of the members of the Coimbra Associated Center of Cochrane Portugal since its creation. She has played an important role both in the design of studies related to medicine, dentistry, psychology, pharmacy and sports sciences and in their analysis and proper reporting. These years of experience have resulted in the publication of 1,340 full papers, most of which have been published in international journals (mainly Q1 and Q2) and 4 book chapters, with a total of 794 citations and an h-index of 16 in WoS (ResearcherID: AAR-4529-2020), 973 citations and an h-index of 18 in Scopus (Scopus Author ID: 7801350857) and 2,224 citations and an h-index of 25 in google scholar. Bárbara Oliveiros also has extensive teaching and supervision experience (5 PhD students - 1 completed, and 58 Master students - 8 in progress), in addition to her work as a consultant and advisor to post-doctoral, PhD and Master's students, as well as clinicians and researchers at the University Hospital. She has strong skills in Biostatistics, Data Science and Artificial Intelligence methods, as well as their application to her teaching activities (she supervises 6 curricular units out of the 31 she teaches). She has participated as a collaborator in 16 funded projects during her career. She works mainly in the area of data science and machine learning, using mathematical and statistical models applied to health sciences, with an emphasis on classification/diagnosis and prognosis studies in humans and the development of new statistical methods for their application in medicine (doi: 10.3390/cancers13194975; doi: 10.1016/j.ijcha.2022 .100979), dentistry (doi: 10.1111/iej.13572, doi: 10.3390/bioengineering8060076), using artificial intelligence methods (doi: 10.1007/s00259-017-3789-y), through supervised and unsupervised learning. She is also involved in the management of FMUC as an advisor to the Board of Directors, as a member of the Pedagogical Council, as a member of the Quality Management Office, and as a member of the Animal Welfare Office for the scientific approval of in vivo study designs. She also coordinates the 2nd year of the Medicine course at the University of Cape Verde (protocol with FMUC), the FMUC Workers' Subcommittee and is Director of the Advanced Studies Office (for the management of FMUC's Master's and PhD courses).