MrMaximilian Leach

Max Leach is a researcher specialising in machine learning, probabilistic modeling, and high-dimensional data analysis. His current work focuses on developing machine learning systems and data-driven forecasting frameworks to analyse clinical, immunological, and omics datasets within the National Heart and Lung Institute at Imperial College London.

He holds an MSc in Applied Mathematics from Imperial College London, where his thesis investigated calibrated uncertainty in Gaussian Process models using online localised conformal prediction under the supervision of Dr. Andreas Koukorinis and Professor Felipe Tobar. His broader academic background includes international research appointments through the Mitacs Globalink program at the University of Toronto, where he worked on quantum circuit initialisation for quantum chemistry simulations, and the University of British Columbia, where he contributed to graph neural network models for molecular property prediction.