Digital Health
Theme Lead: Dr Claudio Fronterre , Lecturer in Biostatistics (Global Health), Faculty of Health and Medicine
Digital Humanities
Theme Lead: Dr Ian Gregory, Professor of Digital Humanities, Faculty of Arts and Social Sciences
I work in Digital Humanities and am particularly interested in using Geographical Information Systems (GIS) with texts as well as the more traditional quantitative sources. I have used these approaches to study a range of topics from historical demography to Lake District literature. This research has been the subject of several major projects including the European Research Council-funded Spatial Humanities: Texts, GIS, Places, the Leverhulme Trust funded Geospatial Innovation in the Digital Humanities and, most recently, the ESRC/NSF Funded Space Time Narratives project.
Lancaster’s Digital Humanities Centre brings together internationally recognised centres of excellence in the spatial humanities, corpus linguistics, and natural language processing (NLP), and combines these with broad expertise across the digital humanities as a whole.
Machine Learning
Theme Lead: Dr Chris Nemeth, Senior Lecturer in Statistics
My research is in the areas of computational statistics and statistical machine learning, specifically Markov chain Monte Carlo, sequential Monte Carlo, Gaussian processes and approximate Bayesian computation for intractable likelihoods. Currently, I am working on the problem of efficient Bayesian inference for big data problems via distributed computing and data sub-sampling. My research has an impact in a variety of application areas including target tracking, ecology and econometrics and I am currently collaborating extensively with a number of climate scientists on environmental data science challenges.
Local Research Groups and Resources
Events and Seminars
- N8 Machine Learning Community Day
Monday 11 March, 2024
Monday 11 March, 2024
Upcoming Events
Event Resources
Online Training Resources