Joel Andrepont
About Joel Andrepont
Joel Andrepont is a researcher currently engaged in a research internship at Inria in Grenoble, France, focusing on uncertainty quantification in stochastic differential equations. He has a diverse background in research and education, holding degrees in Computer Science, Philosophy, and Computational and Applied Mathematics.
Current Research Internship at Inria
Since 2021, Joel Andrepont has been engaged in a research internship at Inria in Grenoble, Auvergne-Rhône-Alpes, France. His work focuses on uncertainty quantification in stochastic differential equations, particularly with applications in neurosciences. This position allows him to apply his academic knowledge to real-world problems, contributing to advancements in the field.
Previous Experience at Inria
Joel Andrepont previously worked at Inria as a Graduate Research Intern in 2019 for two months. This role provided him with valuable experience in a research environment, further developing his skills in computational methods and analysis.
Experience at GE Digital
In 2017, Joel Andrepont participated in the Software Engineer Apprenticeship Program (SWEAP) at GE Digital in New Orleans. He served as an intern for five months, gaining practical experience in software engineering and contributing to various projects within the company.
Educational Background
Joel Andrepont holds a Bachelor's degree in Computer Science from the University of New Orleans, which he completed from 2016 to 2018. He also earned a Bachelor's degree in Philosophy from Louisiana State University, studying there from 2010 to 2015. Additionally, he obtained a Master of Science in Computational and Applied Mathematics from the National School of Computer Science and Applied Mathematics of Grenoble, completing his studies from 2018 to 2020.
Research and Academic Contributions
Throughout his academic career, Joel Andrepont has engaged in various research roles, including as an Undergraduate Researcher at the University of New Orleans from 2017 to 2018 and as a Research Assistant/Translator at Louisiana State University from 2013 to 2014. His diverse research background includes experience in university labs and the finance sector, focusing on topics such as stochastics, partial differential equations (PDEs), and statistical mechanics.