Martin Sewell

Martin Sewell comes from a multidisciplinary background. He holds a BSc (Hons) in Mathematics from the University of Bristol, an MSc in Computing Science from Birkbeck College, University of London and a PhD in the application of machine learning to financial time series analysis from the Department of Computer Science at UCL (University College London). At the University of Cambridge, he worked as a Senior Research Associate for the Department of Land Economy, a supervisor for the Faculty of Economics and a supervisor for the Computer Laboratory. He also worked for the Centre for Risk Studies at Judge Business School.

In industry, he worked in research and development for nChain, a blockchain technology company, in quantitative research and development for Crypton, a digital asset management company, and as a developer in the Applied Innovation team for Arqit, a cybersecurity company. He has also been working as an Instructor for Scholarly, providing research mentorship in data science, machine learning, statistics and cryptocurrencies.