Summary
Sergio Peignier is an Associate Professor at INSA Lyon with nine years of experience at the intersection of machine learning, bioinformatics, and theoretical computer science. He researches gene regulatory network inference, substring search algorithms for genomics, and applies ML to hyperspectral imaging and industrial data analytics. Sergio blends rigorous theory—graph theory, linear algebra and stochastic processes—with practical software development, deployment and database skills used in both academia and industry. He has experience in deep learning for time-series anomaly detection and transfer-learning applied to industrial partners, and has served as director of studies and journal reviewer. Based in Greater Lyon, he brings a multidisciplinary background that also includes formal music training, reflecting an analytical yet creative approach to problem solving.
9 years of coding experience
1 year of employment as a software developer
Master 2 (M2), Informatics, Complex systems, Master 2 (M2), Informatics, Complex systems at Ecole normale supérieure de Lyon
Master in Bio-informatics and Modeling, Bio-informatique et modélisation, Master in Bio-informatics and Modeling, Bio-informatique et modélisation at Institut national des Sciences appliquées de Lyon
first cycle of flute, music, first cycle of flute, music at National Music School La Paz Bolivia
High school diploma, Scientific option, High school diploma, Scientific option at Lycée Franco Bolivien La Paz Bolivie
French, Spanish, English, Portuguese, Italian