Pierric Meunier
About Pierric Meunier
Pierric Meunier is a Machine Learning Engineer at ASUS in Taipei City, Taiwan, specializing in heterogeneous computing systems and embedded systems. He has a background in various roles within the machine learning field, including positions at GSK, Thales, and ResMed.
Work at ASUS
Pierric Meunier has been employed as a Machine Learning Engineer at ASUS since 2022. In this role, he focuses on addressing complex machine learning and deep learning challenges. His work involves optimizing machine learning tasks, particularly in the context of heterogeneous computing systems. He is based in Taipei City, Taiwan.
Previous Experience in Machine Learning
Prior to his current position, Pierric Meunier worked at GSK as a Machine Learning Engineer from 2019 to 2021 for two years in the Brussels Area, Belgium. He also completed a six-month internship as a Machine Learning Intern at Thales in 2019, located in Île-de-France. His early career included a role as an R&D assistant at ResMed for one month in 2017 and as a Technology Consultant at Linitech from 2017 to 2018.
Education and Expertise
Pierric Meunier studied Electrical Engineering and Computer Science at National Chiao Tung University from 2018 to 2019. He also holds a Master's degree in Computer Science with a focus on Embedded Systems from École des Mines de Saint-Étienne, where he studied from 2016 to 2019. His expertise includes heterogeneous computing systems and embedded systems, which are essential for developing efficient machine learning models.
Specialization in Machine Learning
Pierric Meunier specializes in heterogeneous computing systems, which involves integrating various types of processors to enhance the performance of machine learning tasks. His focus on embedded systems allows him to create efficient machine learning models suitable for hardware with limited resources. This specialization is critical in addressing the challenges faced in machine learning and deep learning applications.