Monica Noselli

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Research Assistant with interest in Visual Data Analytics

Monica Noselli is a Research Assistant at the University of Queensland Information Technology and Electrical Engineering School since January 2021.


Software developer and data scientist with experience with Python and Jupyter Notebook, AngularJS, C# in .NET, Vue.js in VSCode.

She is leading and developing the graphical user interface (GUI) of the CLinical AI Research Accelerator (CLARA) project.

BSc in Web Technologies, MSc in Computer Science, and non-completed PhD (relocated from UK to Australia after 2 years) on health data analytics during which she has built a client-side visual analytics dashboard in Angular.

Career History

PhD student in Health Data Analytics at the University of Leeds, UK Sep 2014 - Mar 2017
Monica worked with health data from a large cohort of newborns and built a visual analytics dashboard in AngularJS to identify data quality issues. For this project, Monica collaborated with the Born in Bradford Project (NHS trust) as a data scientist (mainly for the visualisation of information) and developed a tool in JS for data quality issue identification called MonAT

Monica had the opportunity and the pleasure to spend six months (Jun 2013 - Dec 2013) at the World Health Organization (WHO) as a Software Engineer Intern, where she developed unit testing in C# for ICD-11 (International Classification of Diseases)
She develop in Visual Studio .NET using C#, LINQ, JSON, XML in the context of the ICD11 WHO project.


AngularJS, Vue.js, JSON, D3.js, Python, C#, Blazor, Java, SQL


MSc Computer Science at the University of Fribourg, Switzerland.
Graduated 2014, [Specialization in “Advanced Information Processing”] ( (Courses in Machine Learning, Information Retrieval, and Natural Language Processing).
Thesis project: NLP application to identify and extract treatments from scientific publications relevant to a certain disease.

BSc in Web Technologies at the University of Udine, Italy.
Graduated 2007.
Thesis project: Developed a web-based software application for cancer patients to report toxicity levels.