Alexis Gilles
About Alexis Gilles
Alexis Gilles is a Machine Learning Researcher currently employed at Engineers Gate in the United Kingdom since 2022. He has a background in quantitative research and has worked in various academic and industry roles in France and the UK.
Work at Engineers Gate
Alexis Gilles has been employed at Engineers Gate as a Machine Learning Researcher since 2022. In this role, he focuses on developing and implementing machine learning algorithms to enhance trading strategies and improve financial models. His work contributes to the firm's efforts in leveraging advanced technology for quantitative finance.
Previous Experience at Machina Capital
Prior to joining Engineers Gate, Alexis Gilles worked at Machina Capital as a Chercheur quantitatif from 2019 to 2022. During his three years at the firm, he specialized in quantitative research, applying mathematical and statistical techniques to analyze financial data and inform investment decisions.
Academic Background
Alexis Gilles studied at Ecole normale supérieure from 2012 to 2016, where he completed a four-year program. He also attended Université Paris-Saclay, earning a Master's degree in Mathematics from 2014 to 2015. His academic background laid the foundation for his expertise in quantitative research and machine learning.
Experience at Mathematical Sciences Research Institute
In 2016, Alexis Gilles served as a Program Associate at the Mathematical Sciences Research Institute (MSRI) for a duration of four months. This position allowed him to engage with the mathematical community and gain insights into research methodologies and collaborative projects.
PhD Studies at Université Côte d'Azur
From 2016 to 2019, Alexis Gilles was a PhD Student at Université Côte d'Azur. His research during this period focused on advanced topics in mathematics, contributing to his development as a researcher in the field of quantitative finance and machine learning.