Samuel Edet is a doctoral student in Economics, Networks and Business Analytics at IMT School for Advanced Studies, Italy. He holds a masters degree (distinction) in Mathematical Sciences from the University of Cape Town, South Africa (through the African Institute for Mathematical Sciences Post graduate scholarship), where he worked on Recurrent Neural Networks for financial market forecast. This project made the final nomination for the 2017 Thomson Reuters Excellence Award (student research in data science). Also, he has a bachelors degree (first class) in Mathematics from the University of Ibadan, Nigeria.
His research interest spans the application of neural networks to finance and economics, applied econometrics, industrial organizations and business economics.