Simon Hoffmann
Simon Hoffmann is Data Analyst at Trilateral Research.
He joined Trilateral Research in 2020 for a data science internship where he worked on projects with the third sector examining the relationship between crime and adolescent mental health providing analytical and visualisation support. Simon is a member of the HAMOC product team, where he develops algorithms to extract human security insights from data, such as risk assessment in conflict areas. He also supports in developing features to improve the usability of the product. Simon is passionate about machine learning and extracting the substantive insights from raw data around complex social problems.
Research Background
After having spent two years in Physics and Chemistry preparatory classes, Simon joined ENSEEIHT, a French engineering school, where he graduated with an MSc in IT and applied maths, focusing on Machine Learning and Imagery. Simon has worked on facial emotion analysis in political speeches trying to uncover fake emotion using machine learning and computer vision methods. Before joining Trilateral Research, Simon worked in the public sector in Buenos Aires, developing an application for a physics laboratory, whose goal was to remotely control a laser.
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