Maxime Cauchois
About Maxime Cauchois
Maxime Cauchois is a Quantitative Researcher at Two Sigma in the New York City Metropolitan Area since 2022, holding a PhD in Statistics from Stanford University. His research focuses on machine learning, uncertainty quantification, and distributional shifts.
Work at Two Sigma
Maxime Cauchois has been employed at Two Sigma as a Quantitative Researcher since 2022. In this role, he focuses on developing quantitative models and strategies within the New York City Metropolitan Area. His previous experience at Two Sigma includes a position as a Quantitative Modeling Intern in 2021, where he contributed to various projects for a duration of two months.
Education and Expertise
Maxime Cauchois earned his Doctor of Philosophy (PhD) in Statistics from Stanford University, where he studied from 2017 to 2022. His academic background also includes a Master of Science (MS) in Applied Mathematics from École Polytechnique, completed from 2014 to 2018. During his studies, he elected multidisciplinary courses in mathematics, computer science, and economics, and majored in applied mathematics in his final year.
Background
Before his tenure at Two Sigma, Maxime Cauchois gained diverse experience through various internships. He worked as a Quant Analyst Intern at Bloomberg LP in 2017 and as a Data Scientist Intern at Google in 2019. Additionally, he interned at Societe Generale Corporate and Investment Banking in 2016. His early career also includes a position as a Graduate Research and Teaching Assistant at Stanford University from 2017 to 2022.
Publications and Research Focus
Maxime Cauchois has authored publications that concentrate on machine learning, uncertainty quantification, and distributional shifts. His research contributions reflect his expertise in quantitative analysis and statistical modeling, which are integral to his current role as a Quantitative Researcher.
Teaching and Examination Experience
Maxime Cauchois served as an Oral Examiner in mathematics for the Ministère chargé de l'Éducation nationale in France from 2015 to 2016. This role involved assessing students' understanding of mathematical concepts, further showcasing his proficiency in the subject.