Clara Simmat is a data scientist specializing in deep learning research at Primaa, where significant projects include the development of innovative tools for determining mitotic grades in breast cancer and analyzing immunohistochemistry slides. Clara also holds a position as an associate at Time for the Planet and has previous experience as an AI research and epigenetics intern at Hospices Civils de Lyon, where machine learning methods were applied to characterize T lymphomas. Additional experience includes a role as a biostatistician intern at INFERENTIAL, focusing on statistical analysis for clinical trials, as well as technical management and consulting roles at Junior ISEP. Clara's educational background includes a Master's degree in Artificial Intelligence from Université Paris Dauphine - PSL and an engineering degree in Data Sciences from Isep - École d'ingénieurs du numérique, among other academic pursuits in computer science and project management.
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