Léonard Benedetti

Léonard Benedetti has a diverse work experience in various technical roles. Léonard currently works as a Research Engineer at InstaDeep Ltd, where they conduct research in machine learning applying it to biology. Their responsibilities include designing predictive models for cancer vaccine research and developing a robust codebase for training deep models.

From 2019 to the present, Léonard has been teaching computer science and applied mathematics at engineering and computer science schools such as EPF, ESIEA, EFREI, and INTECH. Léonard covers topics such as data science, algorithms, and software development.

Before their teaching role, Léonard worked as an Engineer at Airbus from 2018 to 2021, where they specialized in developing high-performance GPU computing architectures for security and machine learning applications. Léonard also conducted technical audits and penetration tests.

From 2014 to 2019, Léonard served as a Teacher and Educational Engineer at Platypus, contributing to educational initiatives.

In 2016, Léonard worked as a Researcher at ESIEA – LDR Laboratory, focusing on research activities.

Additionally, Léonard gained experience as a Student Engineer at Airbus Defence and Space in 2017, conducting research on detection and classification of cryptographic algorithms.

Léonard also worked as a Student Software Engineer at Eurofins in 2016, where they developed algorithms and software and automated photo registration processes.

Throughout their career, Léonard has demonstrated expertise in machine learning, algorithms, software development, cryptography, and data science.

Léonard Benedetti attended ESIEA - ÉCOLE D'INGÉNIEUR·E·S D'UN NUMÉRIQUE UTILE from 2013 to 2018, where they obtained a MSc degree in French engineering.