Professor Christopher Nemeth

Professor of Probabilistic Machine Learning

Profile

My research is in the areas of computational statistics and probabilistic machine learning, specifically Markov chain Monte Carlo, sequential Monte Carlo, Gaussian processes and approximate Bayesian computation. Currently, as part of my UKRI fellowship, I am developing probabilistic AI algorithms for large-scale learning, with a focus on the mathematical foundations of these algorithms.

Applications of my research have an impact in a variety of areas, including target tracking, environmental science and econometrics.

AI Hub
01/02/2025 → 30/11/2025
Research

ProbAI: A Hub for the Mathematical & Computational Foundations of Probabilistic AI
01/02/2024 → 31/01/2029
Research

DSI: Probabilistic AI: Massive Scale Linking in AI Powered Knowledge Bases
01/10/2023 → 31/03/2027
Research

DSI: STOR-i : Bayesian inverse modelling and data assimilation of atmospheric emissions
01/10/2022 → 30/09/2025
Research

DSI : STOR-i - Optimising In-Store Price Reductions - Katie Howgate
01/05/2022 → 30/04/2025
Research

DSI: Turing AI Fellowship: Probabilistic Algorithms for Scalable and Computable Approaches to Learning (PASCAL)
01/01/2021 → 31/12/2025
Research

EPSRC Core Equipment 2020
14/11/2020 → 13/05/2022
Research

Detecting soil degradation and restoration through a novel coupled sensor and machine learning framework
31/01/2020 → 16/09/2024
Research

Explainable AI for UK agricultural land use decision-making
01/12/2019 → 30/11/2020
Research

Explainable AI for UK agricultural land use decision-making
01/12/2019 → 30/11/2020
Research

STORi: Learning to Group Research Profiles through Online Academic Services
01/10/2019 → 31/03/2023
Research

STORi: Statistical Analysis of Large-scale Hypergraph Data
01/10/2019 → 31/03/2023
Research

DSI: Scalable and Exact Data Science for Security and Location-based Data
29/06/2018 → 30/09/2021
Research

DSI: Data Science of the Natural Environment
16/04/2018 → 15/04/2024
Research

DSI: Bayesian Latent Space Modelling for Chemical Interactions
13/04/2018 → 12/08/2018
Research

Bayesian and Computational Statistics, Statistical Artificial Intelligence

Bayesian and Computational Statistics, STOR-i Centre for Doctoral Training

Bayesian and Computational Statistics, STOR-i Centre for Doctoral Training

Bayesian and Computational Statistics, STOR-i Centre for Doctoral Training

  • Bayesian and Computational Statistics
  • Centre of Excellence in Environmental Data Science
  • DSI - Foundations
  • Statistical Artificial Intelligence
  • STOR-i Centre for Doctoral Training