Michael is Professor of Astrophysics in the Cavendish Astrophysics Group of the Dept of Physics at the University of Cambridge. He has published over 400 research papers and 8 textbooks. His IP has been used at the European Space Agency to get the Juno probe to Jupiter and in the Large Hadron Collider at CERN to discover the Higgs-Boson (or “God particle”).
Applied astrophysics is concerned with the extraction of signal from large, noisy, opaque datasets. This expertise is ideally suited to financial markets, and Michael has extensive experience in applying machine learning and inference techniques to financial market data.
Michael is Qi’s key academic partner and has authored the Qi White Paper on methodology.