Patrick Bordes is an accomplished AI Research Scientist at InstaDeep Ltd since March 2022, where Patrick has made significant contributions as the first author of the paper on Isoformer, which focuses on pre-training multi-modal large language models for biological sequences and has been accepted at NeurIPS 2024. Previously, Patrick served as a PhD candidate at Laboratoire d'Informatique de Paris 6, specializing in deep multimodal learning and achieving recognition in the ICML 2019 for research on zero-shot learning in object recognition. Patrick's experience also includes a research internship with BP focusing on machine learning applications and a marketing coordination role at SendinBlue. Educational qualifications include a Master in Mathematics, Vision, and Learning from École Normale Supérieure Paris-Saclay and a Master of Engineering in Applied Mathematics from École Polytechnique. Additionally, Patrick has experience in academia as a teaching assistant for undergraduate and graduate computer science students.
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