Summary
Mariana Oliveira is a postdoctoral fellow with nine years of research experience applying data mining and machine learning to problems with temporal and spatial dependencies. Trained originally in physics and now holding a PhD from Universidade do Porto, she blends strong quantitative intuition with practical predictive-analytics expertise developed during doctoral and postdoctoral work at INESC and Dalhousie University. Her projects span academic collaborations and international research visits, including internships at Carnegie Mellon, reflecting comfort with interdisciplinary teams and complex datasets. She focuses on building models that respect spatio-temporal structure rather than treating observations as independent, often bridging theory and applied evaluation. Based in Porto, Portugal, Mariana brings a physics-informed perspective to ML research, enabling novel approaches to temporal-spatial prediction and robust experimental design.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science (BSc), Bachelor of Science (BSc) at Universidade do Porto