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The Data Centric Science and Engineering group at the University of Manchester conducts research at the forefront of foundational methods and algorithms for Data Centric Science and Engineering, spanning across the fertile intersection of computational applied mathematics, computational statistics, artificial intelligence, and machine learning. Multilevel Monte Carlo methods for Bayesian computation are of particular interest -- specifically multi-index, multi-fidelity, and randomized versions. Surrogate modelling (supervised learning) is another area of research in the group which is picking up momentum. Geometric and topological data analysis methods, for example for nonlinear dimensionality reduction, are nascent areas of interest. Since the impact of a method is only realized once it is applied, the group is also heavily engaged in applications, including advanced materials and manufacturing, subsurface, numerical weather prediction, fusion energy science, and quantum information science.
News
News
Multilevel Trace-class Neural Networks accepted by SIMODS!
Congratulations to Shangda for presenting his capstone paper at ICML 2024!
Congratulations to Shangda for accepting a position at Huawei, Shanghai!
Congratulations to Shangda for being officially awarded his PhD!
Congratulations to Vitaly for being officially awarded his PhD!
Kody J. H. Law (group leader)
Kody J.H. Law is an independent consultant and Honorary Professor of Applied Mathematics in the Department of Mathematics at the University of Manchester and Manchester Institute of Data Science and AI and a fellow of ELLIS and The Alan Turing Institute, specialising in machine learning and AI, computational applied mathematics, and statistics. He received his PhD in Mathematics in 2010 from the University of Massachusetts, Amherst, and subsequently held positions at the University of Warwick, King Abdullah University of Science and Technology, Oak Ridge National Laboratory, and Meta Platforms.
He has published in the areas of machine learning and AI, computational applied mathematics, statistics, scientific computing, and physics. Since 2022 he has been working exclusively in machine learning and AI, including deep learning, LLMs, recommender systems, and uncertainty quantification, and the application to next generation smart glasses (AR).
Xinzhu Liang (PhD, October 2021 -- )
Xinzhu has an industrial CASE studentship with IBM, working on multilevel and multi-index Monte Carlo methods for Bayesian inference with a particular concentration on fluid dynamics models. She completed her MSc in Mathematical Modelling and Scientific Computing at Oxford.
Alumni
Alumni
Shangda Yang (PhD, October 2020 -- January 2024)
Shangda is working on multilevel and multi-index Monte Carlo methods for Bayesian inference. He completed his MSc in Mathematical and Computational Finance at Oxford before coming to Manchester.
Vitaly Zankin (PhD, July 2019 -- February 2024 )
Vitaly is a Statistics PhD student in the Department of Mathematics at the University of Manchester, joint with The Alan Turing Institute. Before coming to Manchester, he obtained two MSc degrees from Moscow Institute of Physics and Technology and Skoltech. He is working on methods for online regression and active learning, as well as more generally UQ for machine learning algorithms.
Alexander Tarakanov (postdoc, Oct 2019 -- May, 2021)
Congratulations to Alexander for his new position at Huawei Russian Research Institute ! We are delighted for his success, and wish him all the best in this exciting position, but we are also sorry to see him go. Alexander has moved to an academic position at the Higher School of Economics, Moscow. Congratulations, Alexander!
Clement Etienam (postdoc, Nov 2018 -- August 2020)
Congratulations to Clement for his new position as Solutions Architect at Nvidia ! We are delighted for his success, and wish him all the best in this exciting position, but we are also sorry to see him go.
Amit Kumar (Postdoc, 2023)
Iryna Dzhyhita-Khan (MSc Data Science, September 2021 -- December 2022)
Iryna was an MSc Data Science (Mathematics Pathway) student in the School of Social Sciences at the University of Manchester. She did her dissertation on Gaussian Processes for Bayesian Machine Learning.
Maoxuan Fan (MSc Data Science, September 2021 --September 2022 )
Maoxuan was an MSc student in the Department of Social Science, and did a project on Mixtures of experts.
Keru Wang (4th year MMath, October 2021 -- May, 2022)
Keru was a MMath student in the Department of Mathematics at the University of Manchester. He did a project on Bayesian optimization. Keru went on to get an MSc in Mathematical Sciences from Oxford.
Wei (Barney) Hong (3rd year BSc, October 2021 -- May, 2022)
Barney is a BSc student in the Department of Mathematics at the University of Manchester. He is doing a project on Data Assimilation, in particular focused on sequential Monte Carlo and Markov chain Monte Carlo methods. Barney went on to get an MSc in Mathematical Sciences from Oxford.
Yuxiong Gao (3rd year BSc, October 2021 -- May, 2022)
Yuxiong is a BSc student in the Department of Mathematics at the University of Manchester. He is doing a project on Bayesian Optimization. Yuxiong went on to get an MSc in Mathematical Sciences from Oxford.
Adam Spannaus (PhD Mathematics, UTK, 2017- 2020, now at Oak Ridge National Laboratory)
Ella Cooper (MPhil, October 2019 -- October, 2022, now at DSTL )
Stefan Pricopie (MSc Data Science, October 2019 -- Sept 2020 )
Yitong Bao (MSc Mathematical Finance, 2018-2019)
Chenguang Yang (MSc Applied Mathematics, 2018-2019)
Ngoc Diep Do (MSc Data Science, 2018-2019)
Bin Zhang (MSc Mathematical Finance, 2017-2018)
Yuxin Chen (MSc Computer Science, KAUST, 2014-2015)
Abhishek Shukla (MSc, PhD Mathematics, Warwick 2012-2017, now at Royal Bank of Scotland)
Chang Wang (MSc, Oxford, 2011)
Helena Fyles (MMath project, 2019-2020 )
Zhengwei Song (BSc project, 2020-2021)
Tian Feng (BSc project, 2020-2021)
Yanzhao Yang (BSc project, 2019-2020 )
Xinzhu Liang (BSc project, 2019-2020 )
Chenxu You (BSc project, 2018-2019 )
Yilei Ge (BSc project, 2018-2019 )
Tianke Cai (BSc project, 2018-2019 )
Shangda Yang (BSc project, 2018-2019 )
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