Léa Sta, PhD, is a biosimulation scientist at Physiomics plc since June 2023, focusing on client needs analysis, data analysis, and literature research related to FDA and EMEA reports. Prior to this role, Léa was a Marie Curie early stage researcher at the University of Leeds from January 2019 to May 2023, conducting research in mathematical immunology, developing and programming mathematical models, and employing Bayesian inference for model calibration. Léa's experience also includes a research trainee position in topological data analysis at Sorbonne Universités and a research trainee role in Bayesian inference at the University of Edinburgh. Educational qualifications encompass a PhD in applied mathematics from the University of Leeds, a Master of Science in applied mathematics from UVSQ Université de Versailles Saint-Quentin-en-Yvelines, and a Master of Engineering in applied mathematics from ENSTA Paris.
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