EDUCATION
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Ph.D. in Computational Mathematics, University of Padua, March 2018.
Thesis: Reconstruction of 3D X-ray tomographic images from sparse data with TV-based methods.
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M.Sc. in Mathematics, University of Bologna, February 2013.
Thesis: Regularization techniques for perfusion analysis from tomographic images.
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B.Sc. in Mathematics, University of Bologna, October 2010.
Thesis: Numerical methods for the segmentation of digital images.
PROFESSIONAL EXPERIENCE
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Fixed-term Researcher (Type A), Department of Political and Social Sciences, University of Bologna (July 2021 – present).
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Postdoctoral Research Fellow, Department of Computer Science and Engineering, University of Bologna (May 2018 – October 2020).
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Research Collaborator (Co.Co.Co.), Department of Computer Science and Engineering, University of Bologna (February – March 2018).
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PhD Student (29th cycle), University of Padua (January 2014 – March 2018).
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Analyst Programmer, IMS S.r.l. – Internazionale Medico Scientifica, Sasso Marconi (BO), Italy (February 2013 – February 2014).
RESEARCH ACTIVITY
Her research focuses on reconstruction and processing methods for medical imaging, with a particular interest in numerical variational and iterative algorithms, as well as deep learning-based techniques. She actively collaborates with both Italian and international companies in the medical sector.
She has previously conducted research in the field of immersive virtual reality applications.
She has authored scientific papers and presented at national and international conferences. She has also obtained funding for research visits.
Her teaching activity is mainly in the field of Data Science. In the past, she has taught courses in Numerical Analysis, Numerical Computation, and Computer Science. She supervises bachelor's and master's theses in Mathematics, Computer Science, and Political and Social Sciences.
Orcid: [webpage]
Google Scholar: [webpage]
https://orcid.org/0000-0002-4283-2994
