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Professor Emily Shuckburgh, OBE Director Professor of Environmental Data Science, University of Cambridge Director of Cambridge Zero Fellow at Darwin College, Cambridge At the University of Cambridge Emily is Director of the UKRI Centre for Doctoral Training on the Application of AI to the study of Environmental Risks (AI4ER), Academic Director of the Institute of Computing for Climate Science, and co-Director of the Centre for Landscape Regeneration. She worked for more than a decade at the British Antarctic Survey where her work included leading a UK national research programme on the Southern Ocean and its role in climate. Prior to that she undertook research at École Normale Supérieure in Paris and at MIT. She has also acted as an advisor on climate to the UK Government in various capacities, including as a Friend of COP26. |
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Professor Colm-cille P. Caulfield Co-director (Science) Professor of Environmental and Industrial Fluid Dynamics, Head of Department of Applied Mathematics & Theoretical Physics, University of Cambridge Fellow at Churchill College, Cambridge Professor Caulfield is interested in working as part of such diverse teams to study various fluid flows in the environment, particularly in cases where density differences play a dynamical role. Of course, density differences, (due to temperature or composition variation) are ubiquitous in the environment. Understanding the fundamental properties of the associated fluid dynamics is key to ensuring sustainable human activity. To name just three important examples, understanding how density differences affect fluid flows can allow strategies to be developed to model the climate system, to deal with the dispersion of pollutants, or to minimise energy consumption within buildings. |
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Chris Edsall Co-director (Research software engineering) Head of Research Software Engineering at Research Computing Services, University of Cambridge Bye-fellow at Queens' College, Cambridge Chris is a co-director of the Institute of Computing for Climate Science with a focus on software engineering. Within Cambridge University he is the Head of Research Software Engineering in Research Computing Services, acting Principal Software Engineer in the Cambridge Open Zettascale Lab and is a bye-fellow of Queens’ College. E-mail: cje57@cam.ac.uk |
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Dr Dominic Orchard Co-director (Computer science) Academic in the Department of Computer Science and Technology, University of Cambridge Senior Lecturer in Programming Languages and Systems group at the School of Computing, University of Kent Bye-fellow at Queens' College, Cambridge Dominic is a computer scientist with a broad background in both the theory and practice of programming. He co-directs the Institute of Computing for Climate Science at the University of Cambridge and also holds a Senior Lecturer position in the Programming Languages and Systems group at the School of Computing, University of Kent. E-mail: dao29@cam.ac.uk |
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Marla Fuchs Executive Programme Director Bye-fellow at Queens' College, Cambridge Marla studied mechanical engineering at Rensselaer, in New York and went on to complete an MPhil in Engineering for Sustainable Development at the University of Cambridge. She has worked in a variety of industries including nuclear fuels, inkjet technology, and carbon consultancy. She has been leading international programmes within higher education for the last 10 years with a focus on sustainability. E-mail: mf372@cam.ac.uk |
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Researchers |
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Dr Laura Cimoli Early Career Advanced Fellow Laura is a physical oceanographer interested in ocean dynamics and their role in the climate system. Her research focuses on deep and abyssal ocean circulation and how it contributes to the sequestration and redistribution of tracers, such as anthropogenic heat and carbon. She mostly employs global hydrographic data and inverse methods to investigate the (poorly observed and modelled) deep ocean and its decadal variability. E-mail: lc929@cam.ac.uk |
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Dr Henry Moss Early Career Advanced Fellow Henry is a machine learning researcher specialising in Bayesian methods. His main interest is in applications where it is important to understand model uncertainty, i.e for climate model calibration or automatic equation discovery. E-mail: hm493@cam.ac.uk |
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Dr Roly Perera Early Career Advanced Fellow Senior Research Associate, Department of Computer Science and Technology, University of Cambridge Research Fellow, Programming Languages Research Group, School of Computer Science, University of Bristol Roly is an ICCS Research Fellow in the Department of Computer Science and Technology at the University of Cambridge. Roly’s research interests are in new programming language foundations for transparent and explorable digital media. A scientific paper should allow a reviewer to drill into a bar chart to see the underlying distribution, tweak model parameters, or remove an outlier from the dataset to see how the results would be affected, all within the context of the paper. Roly’s research focuses on tools and techniques that expose, to readers as well as authors, this fine-grained structure. This will make it possible to create digital media which reveal how parts of visualisations relate to data and code E-mail: roly.perera@cl.cam.ac.uk |
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Dr Robert Rouse Early Career Advanced Fellow Robert is an Early Career Advanced Fellow in the Institute of Computing for Climate Science and is also a member of Cambridge Zero. His research interests focus on developing new statistical and machine learning approaches to be applied to real world problems; the development of predictive tools for assessing the impact of extreme meteorological phenomena, including but not limited to flooding, storms, and heatwaves; and artificial intelligence optimisation of built environment systems, such as decarbonisation pathways for commercial/industrial structures. He completed his PhD at the University of Cambridge in artificial intelligence for environmental risk and prior to that received Masters degrees from the University of Cambridge, Imperial College London, and The Royal College of Art. |
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Dr Simon Driscoll Early Career Advanced Fellow |
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Research Software Engineers |
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Dr Omar Jamil Engineering Lead Omar is the Engineering Lead at the Institute of Computing for Climate Science at University of Cambridge. His main interests are in machine learning applications in physical modelling and simulation. Previously, he has served as a technical lead and a manager in both industry and academia where some of his projects included Parallel-in-Time algorithms(APinTA), RSE training programme for Exascale computing (PI on one of the grants), AI agents in defence applications, and machine learning applications for physics emulation. |
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Dr Tom Meltzer Senior Research Software Engineer Tom is a Research Software Engineer with a background in atomic and molecular physics. He has been developing scientific code for over 10 years and is particularly interested in high performance computing. Learn more about me here Email: tdm39@cam.ac.uk |
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Dr Marion Weinzierl Senior Research Software Engineer Fellow of the Royal Astronomical Society, and Associated Fellow of the Higher Education Academy. Marion has a degree in Media Informatics and a PhD in Scientific Computing. Before becoming a Research Software Engineer, she did a postdoc in Solar Physics and Space Weather Prediction, and worked as Computational Scientist at an x-ray technology start-up. Her first RSE position was in Advanced Research Computing at Durham University, where she also took on the role as Research Software Engineering Theme Lead at the N8 Centre of Excellence for Computationally Intensive Research. She joined the team at ICCS in 2023 Learn more about me here E-mail: mw925@cam.ac.uk |
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Dr Jack Atkinson Senior Research Software Engineer Research Associate at Peterhouse College, Cambridge Postdoctoral Research Associate at Queens' College, Cambridge Jack previously worked as a researcher in the fields of fluid mechanics, atmospheric modelling, volcanology, and space weather at the University of Cambridge and the British Antarctic Survey. His research interests lie mainly in geophysical fluid dynamics, numerical modelling, and computing, though he has also done data analysis and modelling for the sport of archery. Learn more about me here E-mail: jwa34@cam.ac.uk |
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Dr Matt Archer Senior Research Software Engineer Matthew works on aspects of high performance computing, machine learning and system administration. He has a PhD in Computational Physics from the same university specialising in Computational Solid Mechanics. He has lectured on Deep Generative Models in Tensorflow as part of the Master’s in High Performance Computing at SISSA and is a Certified OneAPI SYCL and OpenMP instructor, delivering training material at Universities around the UK E-mail: ma595@cam.ac.uk |
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Dr Joe Wallwork Senior Research Software Engineer Joe is a Research Software Engineer with a background in numerical and computational methods for geoscientific modelling. Before joining ICCS in 2024, Joe did a PhD and postdoc at Imperial College London and worked as a Scientific Software Engineer at the Met Office. His PhD and postdoc research focussed on mesh adaptation and adjoint methods for finite element coastal ocean modelling. E-mail: jw2423@cam.ac.uk |
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Ms. Surbhi Goel Research Software Engineer Surbhi’s journey started at the University of Manchester, where she was awarded her degree in Renewable Energy and Clean Technology in 2017. Surbhi has always cared about protecting the environment, and this degree gave her a solid foundation. After graduating, Surbhi worked with several startups, where she created and maintained machine learning models for predicting electricity demand and solar power production. She then went on to complete a Master's in AI for Sustainable Development at University College London (UCL) before joining ICCS as a Research Software Engineer in 2023. Find out more about me here |
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Isaac Akanho Research Software Engineer Isaac studied Computer Science with a specialisation in Artificial Intelligence at university. After graduating, he supported researchers with running their code and software on HPC clusters. He has worked on projects applying machine learning to classification and control tasks using python. He also enjoys delving into the system design of software and applications E-mail: ia464@cam.ac.uk |
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Dr Adeleke O. Bankole Research Software Engineer Adeleke is an applied mathematician specializing in computational methods for fluid dynamics. His research focuses on the mathematical modeling and numerical approximation of Partial Differential Equations (PDEs). He currently works as a Research Software Engineer at the Institute of Computing for Climate Science (ICCS) at the University of Cambridge. Before this, Adeleke was a Research Associate at the University of Colorado Boulder, contributing to the Department of Energy's Exascale Computing Project. He also worked as a Research Scientist and Graduate Student Lecturer at the University of Hamburg, Germany. Adeleke holds a Ph.D. in Applied Mathematics from Germany, with degrees in Industrial Mathematics, Mathematical Sciences, and Mathematics. E-mail: ab3191@cam.ac.uk |
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Dr Sam Avis Research Software Engineer Sam is a research software engineer in the ICCS at Cambridge. He has a background in computational physics having done a PhD and postdoc at Durham University, focusing on numerical simulations of fluids and elastic structures. |
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Dr. Nirav Shah Research Software Engineer Nirav Shah is a Research Software Engineer in the ICCS at Cambridge. Nirav brings experience in Numerical analysis, Finite element method, Scientific machine learning, Parallel computing and Software development. Nirav Shah obtained his doctorate degree from SISSA, Trieste under ROMSOC program. During his PhD, Nirav also worked with ArcelorMittal, Asturias. Before joining ICCS, Nirav was Postdoctoral Research Associate at the Department of Engineering at the University of Cambridge. Email: nvs31@cam.ac.uk |
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Dr Mikolaj Kowalski Research Software Engineer Mikolaj is a Research Software Engineer in the ICCS at Cambridge. Before joining ICCS he was working in the field of Nuclear Engineering on the development of Monte Carlo particle transport codes, where he contributed to the development of TRIPOLI-4 and TRIPOLI-5 Monte Carlo codes at French Atomic Energy Commission (CEA) as well as developed research-focused Monte Carlo code SCONE during his PhD at the University of Cambridge. |
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Jack Franklin Research Software Engineer |
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OperationsOffice: Department of Applied Maths & Theoretical Physics Pavilion H, H1.19 |
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Josh Stevens Programme, Communications & Training Manager |
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Kerstin Enright Programme Administrator |
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