Aygalic Jara is a Consultant and PhD Candidate at SCIAM as of January 2025, engaged in a CIFRE thesis in partnership with LISN. Previously served as a ML Research Scientist at Politecnico di Milano from February to December 2023, focusing on the development of deep learning pipelines for precision medicine. Experience also includes a role as Data Scientist at Substra Foundation, where the development of an open-source Federated Learning Library for medical data was undertaken. Currently a Teaching Assistant at Université Paris-Saclay, responsible for instruction in Operating Systems and Scientific Computing. Interned at Scienta Lab from March to August 2024, contributing to deep learning applications in precision immunology. Aygalic Jara's educational background includes degrees from Lycée Newton, Lycée de l'hautil, Lycée August Escoffier, Ecole centrale de Nantes, and Politecnico di Milano, culminating in a Master of Science in Mathematical Engineering.
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