Daniel Colombo
About Daniel Colombo
Daniel Colombo is a Research Engineer in Bio AI currently employed at InstaDeep Ltd in Paris. He has previously held positions at BMW Group, MBDA, SONDRA, and SUEZ France, and has an educational background in Artificial Intelligence from CentraleSupélec and the Korea Advanced Institute of Science and Technology.
Work at InstaDeep
Daniel Colombo currently serves as a Research Engineer in BioAI at InstaDeep Ltd, a position he has held since 2022. His work focuses on the application of artificial intelligence in biological contexts. InstaDeep is known for its innovative approaches in AI and machine learning, contributing to various sectors including healthcare and biotechnology.
Previous Experience at BMW Group
Prior to his role at InstaDeep, Daniel worked as a Computer Vision Engineer at BMW Group from 2020 to 2021. During his 11 months in Munich, Bavaria, Germany, he contributed to projects that involved advanced computer vision technologies, enhancing the capabilities of automotive systems.
Experience in Deep Learning
In 2022, Daniel Colombo worked as a Deep Learning Engineer at MBDA for five months. He also held a position as a Deep Learning Researcher at SONDRA from 2021 to 2022 for four months. These roles involved developing and implementing deep learning algorithms, furthering his expertise in artificial intelligence applications.
Educational Background
Daniel Colombo's educational journey includes studying at Lycée Saint Louis, where he completed a Preparatory School program for French 'Grandes Ecoles' from 2016 to 2018. He then attended CentraleSupélec, earning an Engineer's degree in Artificial Intelligence from 2018 to 2022. Additionally, he studied at the Korea Advanced Institute of Science and Technology in 2020, focusing on artificial intelligence for 11 months.
Early Career at SUEZ France
Daniel began his career as a Water Treatment Operator at SUEZ France in 2019. This role lasted for one month in Marseille and provided him with foundational experience in operational environments before transitioning to the field of artificial intelligence.