Evan De Corte
About Evan De Corte
Evan De Corte is a Machine Learning Researcher with a strong academic background in mathematics and computer science. He has held various positions in academia and industry, including roles at Google and McGill University.
Work at Old Mission
Evan De Corte has been employed as a Machine Learning Researcher at Old Mission since 2023. His role involves applying machine learning techniques to various projects within the organization. He works in New York, United States, contributing to the advancement of machine learning applications.
Education and Expertise
Evan De Corte holds a Doctor of Philosophy (Ph.D.) in Applied Mathematics with a focus on Combinatorial Optimization from Delft University of Technology, which he attended from 2010 to 2014. He also earned a Master of Science (M.Sc.) in Mathematics from the University of Toronto from 2007 to 2010. Additionally, he obtained a Bachelor of Science Honours (BSCH) in Mathematics and Computer Science from Queen's University, studying there from 2003 to 2007.
Professional Background
Evan De Corte has a diverse professional background. He worked as a Software Engineer at Google from 2018 to 2021 in New York. Prior to that, he held various positions at McGill University, including Research Fellow, Lecturer, and Course Coordinator. He also served as a Postdoctoral Fellow at The Hebrew University of Jerusalem from 2014 to 2016. His early career included roles as a Computer Programmer at the Department of National Defence and the National Research Council Canada.
Research and Teaching Experience
Evan De Corte has extensive experience in research and teaching. He was a Course Instructor at TU Delft from 2011 to 2014. He also engaged in research at McGill University as a Research Fellow from 2016 to 2018 and as a Lecturer and Course Coordinator in 2016. His academic roles have contributed to his expertise in machine learning and applied mathematics.
Career Progression
Evan De Corte's career has progressed through various roles in academia and industry. After completing his education, he began his career as a Computer Programmer in 2004. He transitioned to research and teaching roles at McGill University and TU Delft, before moving into software engineering at Google. His experience as a Quantitative Developer at Akuna Capital further solidified his skills in machine learning and quantitative analysis.