Rita G Nunes is an Assistant Professor at the Department of Bioengineering of Instituto Superior Técnico since 2016 and is currently a Visiting Senior Lecture at King's College London and a Visiting Researcher at Cambridge University. She completed her degree in Engineering Physics from Instituto Superior Técnico in 1999 and went on to work on her DPhil. at the FMRIB Centre in Oxford, UK in the implementation and optimization of Diffusion-Weighted Magnetic Resonance Imaging (MRI) pulse sequences. After completing her DPhil. from the University of Oxford in 2005, she moved to Imperial College London, working as a Research Associate under the supervision of Dr. David Larkman and Professor Jo Hajnal. Her work during this period focused on Parallel MR Imaging and led to the acquisition of the first Simultaneous Multi-Slice (SMS) Echo Planar Images. At the end of 2009, she moved to the University of Lisbon as Investigadora Ciência (FCT), maintaining a collaboration with Professor Hajnal, first as an Honorary Research Fellow at Imperial College London, and since 2012 as a Visiting Research Fellow at King's College London. She has published 62 articles in international journals and 5 book chapters. She has supervised 7 PhD students (5 ongoing), 4 of which as co-supervisor. She has supervised over 50 MSc dissertations (2 ongoing), co-supervised 20 (1 ongoing). She was the Principal investigator in 4 projects and Researcher in 7 others. She works in the areas of Engineering and Technology with an emphasis on Medical Engineering. Her main research interests focus on pulse sequence development for quantitative MRI, including Diffusion (brain, breast and prostate) and relaxometry tissue parameters (T1 and T2 in the brain, heart and cartilage). She is interested in MRI image reconstruction, including motion correction and more recently she has started working on applications of Deep Learning to the reconstruction, segmentation and classification of MR images. She is committed to making her research outputs accessible to others by using and developing open-source tools and participating in the open-source imaging initiative.