Alexandre Di Piazza
About Alexandre Di Piazza
Alexandre Di Piazza is a Machine Learning Engineer based in the San Francisco Bay Area, currently working at DynamoFL. He has a strong background in Data Science and has held various research and teaching positions at prestigious institutions, including Harvard University and EPFL.
Current Role at DynamoFL
Alexandre Di Piazza serves as a Machine Learning Engineer at DynamoFL, a position he has held since 2023. He is based in the San Francisco Bay Area. In this role, he focuses on developing novel approaches in Computer Vision model personalization, emphasizing Federated Learning, Semi-Supervised Learning, and Privacy-preserving techniques.
Previous Experience at Harvard University
Prior to his current position, Alexandre worked as a Visiting Student Researcher at Harvard University from 2022 to 2023. During his seven-month tenure in Boston, Massachusetts, he engaged in research activities that contributed to his expertise in Data Science.
Experience at EPFL
Alexandre Di Piazza has significant experience at the École polytechnique fédérale de Lausanne (EPFL). He worked as a Teaching Assistant from 2018 to 2019 for ten months and again from 2019 to 2020 for five months. Additionally, he completed a Semester Project in the Computer Vision Lab in 2021, which lasted five months.
Educational Background
Alexandre holds a Master's degree in Data Science with a minor in Mathematics from the École polytechnique fédérale de Lausanne, which he completed from 2019 to 2022. He also studied mechanical engineering at the same institution, earning his Bachelor's degree from 2016 to 2019. Furthermore, he studied at Harvard University, where he focused on Data Science and completed his Master's Thesis from 2022 to 2023.
Work Experience in France
In France, Alexandre worked as a Deep Learning Researcher at STMicroelectronics for six months in 2022. He also served as an IT trainer at Kocoya ThinkLab, Laboratoire d'Idées Innovantes for three months in 2021. His experiences in these roles contributed to his development in the field of Data Science.