Isabela Albuquerque
Login to view DISC.Isabela Albuquerque is a Staff Research Scientist at Google DeepMind specializing in machine learning, particularly in improving the generalization and robustness of learning systems. Holding a PhD from the Université du Québec, her research has advanced domain-invariant representation techniques and the application of generative models to enhance out-of-distribution generalization.
She has a passion for promoting diversity and inclusion in science and the machine learning research community. Isabela has presented at technical talks for events like the Women in Machine Learning (WiML) workshop, aiming to support and empower women in the field of Artificial Intelligence.
Her work on electroencephalography (EEG) analysis has been featured in a highly cited systematic review, exploring deep learning applications in neuroscience.
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