Group Members

Mark Girolami

Sir Kirby Laing Professor of Civil Engineering
email: <mag92@cam.ac.uk>
website: https://prof-girolami.uk/

Alessandro Barp

Alessandro is a Research Associate (postdoc) in the Engineering Department at the University of Cambridge and a visiting researcher at The Alan Turing Institute. His research focuses on the empowerment of measures via the geometrisation of statistical methods, such as Hamiltonian Monte Carlo and kernel algorithms built with Stein operators. After having completed the MMathPhys of The University of Warwick and Part III of the Mathematical Tripos at Cambridge, he received his PhD from Imperial College London.
email: <ab2286@cam.ac.uk>
  • PhD in Mathematics, Imperial College London, UK (2020)
  • MASt Part III of the Mathematical Tripos, University of Cambridge, UK (2016)
  • MMathPhys, University of Warwick, UK (2015)

Lawrence Bull

Lawrence is a research associate in the Engineering Dept. at the University of Cambridge, within the Computational Statistics and Machine Learning group. He researches statistical methods for monitoring telemetry data from systems and infrastructure, working closely with the Cambridge Centre for Smart Infrastructure and Construction (CSIC). Previously, he worked at the Alan Turing Institute in the Data-Centric Engineering programme and the Dynamics Research Group at the University of Sheffield.
email: <l.a.bull@sheffield.ac.uk>
website: https://labull.github.io/
  • PhD in Engineering, University of Sheffield, UK (2019)
  • MEng Mechanical Engineering, University of Sheffield, UK (2016)

Domenic Di Francesco

Domenic is a chartered mechanical engineer and Research Associate at The Alan Turing Institute, in the Data-Centric engineering programme. He previously worked in engineering consultancies, then completed an industrially sponsored PhD with academic supervision from Aalborg University (Denmark) and the University of Surrey (UK), and industrial supervision from TWI Ltd and Lloyds Register. His research is focused on industrial applications of computational statistics and has published work on the topics of: system effects, value of information, Bayesian hierarchical modelling, structural reliability and risk management.
email: <ddifrancesco@turing.ac.uk>
website: https://github.com/DomDF
  • PhD in Engineering, University of Surrey, UK (2021)
  • MEng Mechanical Engineering, Durham University, UK (2012)

Connor Duffin

Connor is Research Associate (postdoc) in the Engineering Department at the University of Cambridge, having previously completed his Ph.D. in the Department of Mathematics and Statistics at the University of Western Australia. He is funded by the PREMIERE grant. His research focusses on developing statistical methodology to combine nonlinear differential equations with observed data.
email: <cpd32@cam.ac.uk>
website: https://connor-duffin.github.io
  • PhD in Mathematics and Statistics, University of Western Australia (2022).
  • BSc (Hons) in Mathematics and Statistics, University of Western Australia (2018).

Ieva Kazlauskaite

Ieva is a Biometrika Fellow in the Engineering Department at the University of Cambridge. Her current research is in the area of data-centric engineering, focusing on structural problems and ways to combine statistical and numerical approaches to solutions of differential equations. Prior to that, Ieva completed her doctoral degree at the University of Bath working on Gaussian processes. During her doctoral studies she spent 3 years in industry as a Research Engineer / Engineering Doctorate student at the Frostbite Physics Team at Electronic Arts.
email: <ik394@cam.ac.uk>
  • Engineering Doctorate in Computer Science, University of Bath, UK (2020)
  • MMath in Mathematics, University of Durham, UK (2014)

Jan Povala

Jan is a Research Associate at the Alan Turing Institute, supervised by Professor Mark Girolami and Professor Tim Dodwell. His research is focused on statistical spatio-temporal models. During his PhD he was seconded to the Strategic Insights Unit of the Metropolitan Police Service.
email: <jan.povala11@imperial.ac.uk>
website: https://jan.povala.com
  • PhD in Statistics, Imperial College London (2022)
  • MRes in Financial Computing, University College London (2018)
  • MEng in Computing, Imperial College London (2015)

Kangrui Wang

Kangrui is a Research Associate in the Engineering Department at the University of Cambridge. His research focus on stochastic modelling of high-dimensional data and developing non-stationary non-separable kernels for Gaussian process based models. His interest also lies in the application of deep Gaussian processes to non-stationary spatio-temporal problems. Before joining the group, he was a research associate in the Alan Turing Institute under London air quality project.
email: <kw541@cam.ac.uk>
  • PhD in Applied math, University of Leicester, UK
  • MSc in Actuarial Science, University of Leicester, UK
  • BSc in Finance, East China University of Political Science and Law, China

Ben Boys

Ben is a PhD student in the Future Infrastructure and Built Environment CDT at the University of Cambridge supervised by Professor Mark Girolami. During his PhD, he will be working on developing probabilistic models that simulate outcomes of schedules, building upon state-of-the-art deep learning technologies already developed at his co-sponsor company nPlan. Prior to Cambridge, he was working as a Research Assistant at the Data Centric Engineering Group at the University of Exeter.
email: <bb515@cam.ac.uk>
website: https://github.com/bb515
  • MEng in Information and Computer Engineering, University of Cambridge (2020)

Justin Bunker

Justin is a PhD student who is supervised by Professor Mark Girolami in the Engineering department at the University of Cambridge. His research involves the study of statistical approaches for dealing with streaming data. Before starting his PhD, he worked for two years as a software engineer at a trading firm then returned to academia to complete an MPhil and continue on as a research assistant. His PhD is funded by Splunk Inc.
email: <jb2200@cantab.ac.uk>
website: https://github.com/bunkerj
  • MPhil in Machine Learning and Machine Intelligence, University of Cambridge (2019)
  • BEng in Computer Engineering, Concordia University (2016)

Alex Glyn-Davies

Alex is a PhD student at the Cambridge University Engineering Department, supervised by Professor Mark Girolami. His PhD is sponsored by Splunk Inc, and will be researching machine learning for data streaming applications. He completed a MEng at Cambridge, with his masters thesis focussing on efficient parameter estimation for particle filtering algorithms.
email: <ag933@cam.ac.uk>
website: https://github.com/alexglyndavies
  • MEng in Information and Computer Engineering, University of Cambridge (2020)

Thomas Gaskin

Thomas is a PhD student at the Department of Applied Mathematics and Theoretical Physics, working on topics combining graph topology and network dynamics, stochastic modelling, and machine learning. He is interested in modelling and calibrating dynamical systems using neural differential equations, and understanding the complex behaviour self-organisation, spanning a wide area of application, including social network dynamics, the spread of contagious diseases, and economic activity. Thomas is also a maintainer at the Utopia project, a complex systems modelling framework, and is currently working as a visiting researcher at the Department of Mathematics, Imperial College London.
email: <trg34@cam.ac.uk>
website: https://www.damtp.cam.ac.uk/person/trg34
  • M.Sc. Physics, Heidelberg University. Focus on Complex Systems. (2018–2020)
  • B.Sc. Mathematics, Heidelberg University, Germany. Focus on Topology. (2017–2020)
  • B.Sc. Physics, Heidelberg University, Germany. Focus on Mathematical Physics. (2014–2018)

Andrius Ovsianas

Andrius is a PhD student in Engineering Departmant at the University of Cambridge supervised by Professor Mark Girolami. During his PhD he will be developing probabilistic models for structural health monitoring using satellite data. His PhD is co-sponsored by EDF Energy.
email: <ao464@cam.ac.uk>
website: https://ciupakabra.github.io/
  • MPhil in Machine Learning and Machine Intelligence at the University of Cambridge (2020)
  • BA in Mathematics and Computer Science at the University of Oxford (2019)

Yannis Zachos

Yannis is a PhD student in the Future Infrastructure and Built Environment CDT at the University of Cambridge supervised by Professor Mark Girolami. During his PhD, he will be working on probabilistic modelling of transportation problems in liaison with his co-sponsor company Arup. Yannis is also affiliated with the data-centric engineering programme at the Alan Turing Institute in London. Prior to Cambridge, he was working as a Statistical Scientist at an AI startup in London
email: <i230@cam.ac.uk>
website: https://yannisza.github.io/
  • MRes in Future Infrastructure and Built Environment, University of Cambridge (2020)
  • Bachelors in Statistics and Computer Science, University of Warwick (2018)

Join us...

Contact Prof Girolami for opportunities within the group
email: <mag92@cam.ac.uk>
## Alumni members ##
  • Omer Deniz Akyildiz, Research Associate with Mark Girolami. Current position: Lecturer (Assistant Professor) in Statistics at Department of Mathematics, Imperial College London.
  • Toni Karvonen, Research Associate with Mark Girolami. Current position: Academy of Finland Postdoctoral Researcher in the Department of Mathematics and Statistics at the University of Helsinki, Finland.
  • Hussein Rappel, Research Associate with Mark Girolami. Current position: lecturer (assistant professor) in computational engineering in the College of Engineering, Mathematics and Physical Sciences at the University of Exeter.
  • Leif Azzopardi, PhD student with Mark Girolami. Current position: Chancellor's Fellow, Department of Computer and Information Sciences, University of Strathclyde.
  • Ata Kaban, PhD student with Mark Girolami. Current position: Professor of Computer Science, School of Computer Science, University of Birmingham.
  • Theodoros Damoulas, PhD student with Mark Girolami. Current position: Professor of Machine Learning and Data Science, University of Warwick, and UKRI AI Turing Fellowship Awardee.
  • Ben Calderhead, PhD student with Mark Girolami. Current position: Lecturer in Statistics, Department of Mathematics, Imperial College London.
  • Samuel Livingstone, PhD student with Mark Girolami. Current position: Lecturer in Statistics, Department of Statistics, University College London.
  • Francois-Xavier Briol, PhD student with Mark Girolami. Current position: Lecturer in Statistics, Department of Statistics, University College London.
  • Louis Ellam, PhD Student with Mark Girolami, 2015-2019. Current position: Lecturer in Econometrics, De Montfort University.
  • Michael Epstein, PhD student with Mark Girolami. Current position: Team Leader of Translational Statistics - Achilles Therapeutics Limited.
  • Tapesh Santra, PhD student with Mark Girolami. Current position: Advanced Data Analytics/ Consultant - Accenture.
  • Gary MacIndoe, PhD student with Mark Girolami. Current position: Principal Software Engineer - BBC.
  • Anne-Marie Lynne, PhD student with Mark Girolami. Current position: Research Scientist - Centre de Recherche de l'Institut Curie.
  • Jon Cockayne, PhD student with Mark Girolami. Current position: Assistant Professor at Statistics Sciences Research Institute, Southampton University. Previously, Postdoctoral Research Assistant - Alan Turing Institute.
  • Simon Rogers, post-doctoral researcher with Mark Girolami. Current position: Senior Lecturer, School of Computing Science, University of Glasgow.
  • Vlad Vyshemirsky, post-doctoral researcher with Mark Girolami. Current position: Lecturer in Statistics, School of Mathematics and Statistics - University of Glasgow.
  • Maurizio Filippone, post-doctoral researcher with Mark Girolami. Current position: AXA Chair of Computational Statistics, EURECOM.
  • Theodor Papamarkou, post-doctoral researcher with Mark Girolami. Current position: Research Scientist - Oak Ridge National Laboratory.
  • Michael Betancourt, post-doctoral researcher with Mark Girolami. Current position: Applied Statistician Consultant.
  • Simon Byrne, . Current position: Lead Software Developer - Caltech CliMA.
  • Julien Cornebese, post-doctoral researcher with Mark Girolami. Current position: Head of Research, Element AI.
  • Tom Diethe, post-doctoral researcher with Mark Girolami. Current position: Applied Science Manager - Amazon Research.
  • Matt Higgs, post-doctoral researcher with Mark Girolami. Current position: Data Scientist, The Data Lab.
  • Grigoris Skolidis, post-doctoral researcher with Mark Girolami. Current position: Director of Data Science Services - Morphed Solutions.
  • Vassilis Stathopoulos, post-doctoral researcher with Mark Girolami. Current position: Senior Software & Machine Learning Engineer - yodiwo.
  • Chao He, post-doctoral researcher with Mark Girolami. Current position: Founder and Director Wisers AI Lab.