Rita González Márquez

Rita González Márquez
Rita is a PhD student in the Department of Data Science at the Hertie Institute for AI in Brain Health at the University of Tübingen and the IMPRS-IS graduate school. She is interested in using machine learning methods to delve into datasets and uncover meaningful information. Particularly, she is working with unsupervised learning methods, with a focus on dimensionality reduction algorithms. In her research she uses neighbour embedding algorithms in combination with NLP techniques to produce meaningful two-dimensional visualization of textual data. Not only is she interested in using machine learning methods to analyze data, but also in developing new methods that preserve faithfully key aspects of the data structure.
Visualization techniques are able to capture aspects of the data that would not be easily observable with other analysis methods and are therefore great tools for data exploration.

Present Positions And Title

PhD student

Social Media

Career

PeriodInstitutionRole
Since 2022University of Tübingen, Berens labPhD student
2020University of Tübingen, Euler LabLab Rotation
2020University of Tübingen, Berens LabLab Rotation
2019Seville Institute of MicroelectronicsResearch assistant

Academic Education

YearDergreeInstitutionField of Study
2019 - 2021M.Sc.University of TübingenNeural Information Processing
2015 - 2019B.Sc.University of SevillaPhysics