Alex Gammerman

Alex Gammerman is a Professor of Computer Science at the Department of Computer Science, Royal Holloway, University of London. He is affiliated with the Centre for Machine Learning and the Centre for Reliable Machine Learning. His research focuses on conformal prediction, statistical learning, and algorithmic foundations of machine learning. He has collaborated internationally on projects related to change-point detection, predictive maintenance, and chemical synthesis modeling.

He has secured research funding from organizations including Amazon, AstraZeneca, and the European Union, leading projects such as Conformal Martingales for Change-Point Detection (Amazon, 2020-2021) and Machine Learning for Chemical Synthesis (AstraZeneca, 2017-2018). His work contributes to UN Sustainable Development Goals related to innovation and industrialization.

Gammerman has authored influential books such as Algorithmic Learning in a Random World (2022) and published extensively in peer-reviewed journals and conferences. His research group explores interdisciplinary applications of machine learning in fields ranging from predictive maintenance to compound activity prediction.