Michaël Karpe is Machine Learning Scientist at Next Gate Tech, a Luxembourg-based FinTech scaleup providing Data Management as a Service for the financial industry. He has 5 years of experience in Machine Learning Science & Engineering and Quantitative Research & Development, working with global financial services companies and scaleups.
Michaël Karpe studied Applied Mathematics & Computer Science, including Machine Learning, Computer Vision, Operations Research, and Financial Engineering. He received a Master of Engineering from the University of California, Berkeley, and a Master of Science from the École des Ponts ParisTech.
Michaël Karpe is passionate about real-world applications of Machine Learning, having won a Kaggle Analytics competition in 2020. He is also a fervent public speaker and debater, having reached the semifinals of the French Debating Association tournament in 2018.
MEng in Industrial Engineering & Operations Research - FinTech Concentration
University of California, Berkeley
MSc in Applied Mathematics & Computer Science - Machine Learning & Computer Vision Concentration
Ecole des Ponts ParisTech, France
Classe Préparatoire in Mathematics and Physics
Aux Lazaristes, Lyon, France