A man was examining the construction of a cathedral. He asked a stone mason what he was doing, and the mason replied, “I am making stones.” He asked a stone carver what he was doing. “I am carving a gargoyle.” And so it went, each person said in detail what they were doing. Finally he came to an old woman who was sweeping the ground and asked her what she was doing. She said, “I am helping build a cathedral.”
Parable as retold by Richard Hamming.
I am a researcher interested in developing new computational techniques and tools for analysing biological data, and applying them to real-world problems that scientists and medics are confronted with. What am I really doing? I am helping increase human knowledge, to make the world a better place. If that sounds too grandiose, remember that every other scientist is engaged in the same task.
Machine Learning, Statistics and Data Science
I am a Lecturer in Biostatistics at Lancaster University in the CHICAS (Combining Health Information, Computation And Statistics) group of the Lancaster Medical School. My research interests include Bayesian models for drug and treatment response, information sharing, transfer learning and group mapping for transferring knowledge from in vitro to in vivo datasets, network reconstruction from time-series and interventional data, efficient inference in complex high-dimensional Bayesian models, and parameter inference in models of biological systems.
I studied at the School of Informatics of the University of Edinburgh, and have previously worked at the Netherlands Cancer Institute (NKI-AvL) and at the MRC Biostatistics Unit (BSU) in Cambridge. For a more detailed CV, see here. I am always interested in new collaborations, especially if you have interesting data to show me. Just contact me by email and I will get back to you.