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Tien-Vinh NGUYEN is a quantitative trading researcher at Qube Research & Technologies since September 2021, focusing on machine learning alpha strategies for systematic trading, particularly in natural language processing. Prior to this role, Tien-Vinh served as a machine learning researcher at Shift Technology from July 2019 to September 2021, where contributions included designing automated claims decision systems and frameworks for document understanding. Experience as a teaching assistant at École Polytechnique between September 2016 and June 2019 involved teaching advanced mathematical subjects and supervising a science festival. Tien-Vinh also worked as a quality assurance technician at Safran in 2014, handling statistical analysis and process documentation. Educational qualifications include a PhD in Applied Mathematics from École Polytechnique, a Master's degree in Mathematics from Paris-Sud University, an engineer's degree in Applied Mathematics from École Polytechnique, and a Bachelor's degree from Vietnam National University, Hanoi.