Joe Arrowsmith currently works as a Quantitative Researcher at Qube Research & Technologies since May 2023, focusing on alpha generation. Previously, Joe served as a Visiting Researcher at the University of Cambridge, contributing to the open-source Python package ORDerly, which facilitates the preparation of chemical reaction datasets. Joe's experience also includes roles as a Machine Learning Researcher at Aspect Capital, where the focus was on multi-asset alpha strategies, and as the Founder of Algothon, which hosts Europe's largest Quant Finance Hackathon. Additional roles include past internships in machine learning research and quantitative analysis, along with leadership positions in several academic organizations at Imperial College London. Joe holds a Master of Engineering degree in Bioengineering and Biomedical Engineering from Imperial College London.
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