Amelia Jiménez-Sánchez
Amelia is a Postdoctoral Researcher at the University of Barcelona (UB), and a Guest Researcher at the IT University of Copenhagen (ITU). She has a background in computer science and machine learning, and her current research focuses on responsible and ethical AI, particularly research directions on fairness, dataset audits, and evaluation frameworks informed by policy and social sciences. She is currently working on the project "DVPS" at UB, researching evaluation frameworks for multi-modal foundation models. At ITU, she worked on the project “Making Metadata Count” investigating potential shortcuts that might affect the performance and fairness of classification algorithms, and carried out critical data reviews that highlighted the importance of data work. She holds a degree in Telecommunications Engineering from the University of Granada, a Master of Science in Biomedical Computing from the Technical University of Munich and received her Ph.D. from Pompeu Fabra University. Find more info on https://ameliajimenez.github.io/
References
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International Workshop on Applications of Medical AI (AMAI), 2024 -
In 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023 -
Transactions on Machine Learning Research, 2023 -
Computer Methods and Programs in Biomedicine, 2022