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Nicolas Goix is a senior data scientist at Blockchain, with extensive experience in machine learning and data science since October 2018. Prior roles include quantitative researcher at Stratagem Technologies and machine learning consultant on a freelance basis. Nicolas completed a PhD focused on machine learning methods for anomaly detection at Telecom ParisTech, where research was funded by Ecole Normale Supérieure de Cachan and an industrial research chair. Additional research contributions were made as a visitor at New York University and as a part-time programmer for Scikit-Learn. Early research experience includes a master's thesis on concentration inequalities and a research internship focused on systemic risk in financial systems. Educational background includes prestigious institutions such as École Normale Supérieure Paris-Saclay and Pierre and Marie Curie University, with degrees in mathematics and statistics.