Group Members

Mark Girolami

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

Omer Deniz Akyildiz

Omer Deniz Akyildiz is a Research Associate at The Alan Turing Institute. His research interests revolve around stochastic filtering in high-dimensions and the interplay between sampling, optimisation, and filtering methods.
email: <odakyildiz@turing.ac.uk>
website: http://akyildiz.me
  • PhD in Signal Processing, Universidad Carlos III de Madrid, Spain (2019)
  • MSc in Electronics and Communications Engineering, Istanbul Technical University, Turkey (2012)
  • BSc in Electronics and Communications Engineering, Istanbul Technical University, Turkey (2010)

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 (2020)
  • MASt Part III of the Mathematical Tripos, The University of Cambridge (2016)
  • MMathPhys, The University of Warwick (2015)

Toni Karvonen

Toni is a Research Fellow at The Alan Turing Institute. His primary research interests are in Gaussian process and kernel-based modelling and approximation, related uncertainty quantification, and probabilistic numerical methods, in particular for integration. Previously he has worked on non-linear stochastic filtering problems.
email: <tkarvonen@turing.ac.uk>
website: https://tskarvone.github.io/
  • Doctor of Science (Technology), Department of Electrical Engineering and Automation, Aalto University, Finland (2019)
  • MSc in applied mathematics, Department of Mathematics and Statistics, University of Helsinki, Finland (2015)
  • BSc in mathematics, Department of Mathematics and Statistics, University of Helsinki, Finland (2015)

Ieva Kazlauskaite

Ieva is a Research Associate (postdoc) in the Engineering Department at the University of Cambridge funded by the ICONIC grant. 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>
website: https://ievakazlauskaite.github.io/
  • Engineering Doctorate in Computer Science, University of Bath, UK (2020)
  • MMath in Mathematics, University of Durham, UK (2014)

Hussein Rappel

Hussein is a research associate within the Data-Centric Engineering program at The Alan Turing Institute. Hussein's research is mainly focused on use of the probability logic in applied and computational mechanics.
email: <hrappel@turing.ac.uk>
website: https://www.turing.ac.uk/people/researchers/hussein-rappel
  • Postdoctoral researcher, University of Luxembourg, Luxembourg (Sep 2018- Sep 2019 )
  • PhD, Engineering/Computational sciences, University of Luxembourg, Luxembourg (Sep 2014-Sep 2018) and University of Liege, Belgium (Sep 2015-Sep 2018)
  • MSc, Applied mechanics, University of Tehran, Iran (Sep 2010-May 2013)
  • BSc, Mechanical engineering (solid mechanics), University of Tabriz, Iran (Sep 2006- Sep 2010)

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)

Connor Duffin

Connor is a Ph.D. student in the Department of Mathematics and Statistics at the University of Western Australia, supervised by Edward Cripps, Thomas Stemler, and Professor Mark Girolami. His research focusses on developing statistical methodology to combine nonlinear partial differential equations with observed data. He is partially funded by the ARC Offshore Hub for floating facilities at the University of Western Australia.
email: <connor.duffin@research.uwa.edu.au>
website: https://connor-duffin.github.io
  • BSc (Hons) in Mathematics and Statistics, University of Western Australia

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)

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)

Jan Povala

Jan is a PhD student in the Statistics Section at Imperial College London, supervised by Professor Niall Adams and Professor Mark Girolami. 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
  • MRes in Financial Computing, University College London (2018)
  • MEng in Computing, Imperial College London (2015)

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
  • 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: Associate Professor, Department of Statistics, University of Warwick.
  • 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: 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.