Management Team
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Professor Mark Kennedy
Director
Professor Mark Kennedy leads Data Science Imperial (DSI) at Imperial and teaches on Ph.D., Masters, and Executive courses in the Business School and the DSI. His current projects include the evolution of AI and its impact on work, organisations, and society, and understanding how individuals pick the people they rely on for friendship, help, and advice in work and life.
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Dr Rossella Arcucci
Director of Research
Rossella is Associate Professor in Data Learning and AI for Good at Imperial College London where she leads the Data Assimilation and Machine Learning (Data Learning) Group. She is also the elected speaker of the Artificial Intelligence Network of Excellence at Imperial College, where she represents ~300 academics working on AI.
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Dr Kai Sun
Institute Manager
Dr Kai Sun is the Institute Manager at Data Science Imperial, responsible for managing operations and research projects. She earned her PhD in Computing from Imperial College London in 2014. Her research interests include translational data management, network analysis, and blockchain-based decentralised systems.
Core Team
Kate Heyworth
Data Observatory Team Leader
Kate is the Data Observatory Team Leader, responsible for the strategic planning and operational management of the Data Observatory. Kate has over 20 years of experience supporting Russell Group Universities and holds a Master's in War Studies.
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Dr Wenjia Bai
Senior Lecturer
Dr Wenjia Bai is a Senior Lecturer in AI in Medicine. He is jointly affilitated with Department of Computing and Department of Brain Sciences. His research focuses on developing novel medical image computing and machine learning algorithms to enhance our understanding about health and diseases.
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Brython Caley-Davies
Systems Engineer in Large Scale Data Visualisation
Brython operates the DSI's visualisation facilities, including the Data Observatory and Visual Corridor. He also helps administer the DSI Cloud and develops the Open Visualisation Environment.
Core staff 2
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Florian Guitton
Systems Engineer and Infrastructure Manager
Mr Florian Guitton received a BSc in Software Engineering from Epitech (France) in 2011 and a MSc in Advanced Computing, specialized in Computational Intelligence, from the University of Kent (United Kingdom) in 2012.
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Ping Huang
Manager of Events and Education
Ping orchestrates a wide array of events and educational initiatives, including research seminars, conferences, workshops, summer/winter schools, short training courses, and research-focused programs. She actively fosters DSI's relationships with academic and industrial partners, as well as stakeholders, to ensure long-term success.
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Professor Yves-Alexandre de Montjoye
Professor of Applied Mathematics and Computer Science
Dr Yves-Alexandre de Montjoye is a Professor in the Department of Computing and Research Fellow at the Data Science Institute where he heads the Computational Privacy Group.
Core team 3
Gemma Ralton
Communications Officer
Gemma manages all internal and external communications for the DSI including website content, digital publications, social channels alongside overseeing any other outreach or public engagement work for the institute.
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Dr Ovidiu Șerban
Research Fellow in Intelligent Data Processing and Curation
Ovidiu leads the research and development of the Data Observatory. Ovidiu’s research focuses on modern data science techniques, including large-scale visualisation and real-time natural language processing. He is also a contributor to the Science Actually Podcast.
Wenyu Zheng
Software Developer in Large Scale Data Visualisation
Wenyu develops the Open Visualisation Environment platform and supports the Data Observatory. She completed her master’s degree in Environmental Data Science and Machine Learning at Imperial College London.
Core team 3
Daniel Huang
Junior Cloud Systems Administrator
Daniel is a cloud administrator at the DSI, maintaining and developing a private cloud that supports computational research across multiple academic groups.
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Researchers, Postdocs and PhD students
- Data Learning Group
- Computational Privacy Group
- Medical Vision Group
- Data Curation, Knowledge Management and Visualisation
- Biomedical Informatics
The Data Learning Group is led by Dr Rossella Arcucci.
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Andrianirina RakotoharisoaResearch Postgraduate |
Andrianirina is a PhD student who's research combines air pollution data from remote sensors and satellites with machine learning and data science to analyse the corporate environmental impact. |
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Andrew ClellandResearch Assistant |
Andrew is a postdoctoral researcher in machine learning and AI for wildfire modelling, to create a model which will be used to forecast fire spread in real time. His work is in collaboration with the Leverhulme Centre for Wildfires, Environment and Society. |
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Che LiuResearch Postgraduate |
As a Postgraduate Student, My primary research interest is using Machine Learning and Data Assimilation on Mulitmodal Medical Data (such as image, signal, text, etc.), as well as their translation to clinical research and healthcare. He is also interested in Machine Learning and Data Assimilation for Dynamical Systems. |
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Gemma RaltonResearch Postgraduate |
Gemma is a PhD student based at the Centre for Languages, Culture and Communication and Data Science Imperial, specialising in analysing social data and online science-related misinformation. |
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Georgia RayResearch Postgraduate |
Georgia is a PhD student using machine learning to improve downscaling of global climate models, with the intention of generating science-accurate and corporate-feasible sustainability metrics for companies. |
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Ida CasparyResearch Postgraduate |
Ida is a PhD student in technical AI safety and a member of the Data Learning group. Her research focuses on developing methods to make foundation models more robust, reliable, and interpretable. She uses approaches including mechanistic interpretability, failure mode analysis, and evaluation methods to understand and mitigate risks in model behaviour, with the aim of making neural network decision-making more transparent and controllable. |
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Olivia AtkinsResearch Postgraduate |
Olivia is a PhD candidate in the Department of Civil and Environmental Engineering, and is affiliated with the Data Science Institute and the Leverhulme Centre for Wildfires. She aims to understand the drivers and impacts of drought and associated wildfire in the Peruvian Andes by assimilating novel datasets into sub-seasonal to seasonal drought prediction models. |
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Ollie PittsResearch Postgraduate |
Ollie is a PhD student on the AI4Health CDT who's time is also split between the NHLI and Royal Brompton & Harefield. His work focuses on applying explainable AI models to characterise/classify airway diseases and longitudinally map pathogenesis |
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Robert PlattResearch Postgraduate |
Rob is a PhD student applying Machine Learning models to hyperspectral remote sensing data of Mars, to characterize the surface geology and mineralogy, specifically of Oxia Planum. |
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Sina MehrdadResearch Assistant |
Sina is interested in using AI to extract physical insights from complex systems. His current work applies machine learning to infer wildfire-related information from social media and integrate it into real-time fire forecasting models. |
The Computational Privacy Group is led by Dr Yves-Alexandre de Montjoye.
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Bozhidar StevanoskiResearch Postgraduate |
As a Research Assistant, Bozhidar studies the intersection of machine learning and privacy with a focus on machine learning-based attacks against query-based systems. |
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Euodia DoddResearch Postgraduate |
Euodia obtained her BSc in Computer Science from The University of Sheffield, and an MPhil in Advanced Computer Science from the University of Cambridge in 2022. Her interests include privacy attacks on ML systems, privacy-preserving ML, and interoperability. |
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Florient GuepinResearch Postgraduate |
Florent's research interests include privacy attacks against machine learning systems and generative systems such as GANs. |
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Igor ShilovResearch Postgraduate |
Igor obtained his undergraduate degree in computer science in 2013 and had been working as a software engineer since, most recently at Meta AI. His research interests include differential privacy and privacy attacks against ML systems. |
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Matthieu MeeusResearch Postgraduate |
Matthieu's research interests include privacy attacks against computer vision and language models and bias and fairness in machine learning. |
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Natasa KrcoResearch Postgraduate |
Natasa's interests include explainable AI, algorithmic fairness and privacy-preserving machine learning. |
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Yifeng MaoResearch Postgraduate |
Yifeng's research interests include privacy-preserving ML, synthetic data generation protecting personal anonymity, and attach methods against census datasets and ML models. |
The Medical Vision Group is led by Dr Wenjia Bia. Their research focuses on developing computer vision algorithms for medical imaging and defining vision for future healthcare.
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Berke Doğa BasaranResearch Postgraduate |
Doğa is a postgraduate researcher pursuing a PhD in the AI4Health CDT studying Multiple Sclerosis brain lesion segmentation using machine learning. |
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Kate ČevoraResearch Postgraduate |
After several years in industry as a reserach Data Scientist, Kate is now working towards a PhD in improving generalisation of machine learning models for automated medical image segmentation. |
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Marco VisentinResearch Postgraduate |
As a PhD student, Marco is dedicated to the development of trustworthy deep learning models in the field of medical image analysis, especially in the context of thyroid ultrasounds. |
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Dr Mengyun QiaoResearch Associate |
Dr. Mengyun Qiao is a Research Associate. Her primary research area revolves around the development of machine learning algorithms specialized for medical image analysis. Her current focus centers on pioneering deep generative models with the capacity to comprehend spatio-temporal variations in cardiac anatomy. Additionally, she investigates the clinical applications of generative models. Dr. Qiao's research interests span medical image analysis, machine learning, generative models, data augmentation, and causality. |
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Dr Qiang MaResearch Associate |
Dr Qiang Ma is a Research Associate working on machine learning for 3D temporal cardiac surface reconstruction and analysis. His research interests include 3D shape reconstruction and geometric deep learning for medical image analysis. |
The Data Curation, Knowledge Management and Visualisation Group is led by Dr Ovidiu Serban.
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Ryan OngResearch Postgraduate |
Ryan's research interests include natural language processing, knowledge graphs, informational retrieval, and data science. |
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Weihang ZhangResearch Postgraduate |
As a PhD student, Weihang works in the field of knowledge base management and its applications in the factual verification domain. |
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Shuojie FuResearch Assistant in Data Curation and Data Science |
Shuojie is a Research Assistant at the Department of Surgery and Cancer in Imperial College. She works closely with the Data Science Institute on a project about data curation related to breast cancer. |
The Biomedical Informatics Group is led by Dr Kai Sun and Florian Guitton.
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Guanyu TaoResearch Assistant |
Guanyu Tao works on the IDEA-FAST project contributing to data management platform and analytical environment developed and hosted by Imperial College London. His research interests include data analysis, deep learning and data management. |
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Jianfeng WangResearch Assistant |
Jianfeng Wang works on the IDEA-FAST project contributing to the data management platform and analytical environment developed and hosted by Imperial College London. His research interests are in natural language processing, computer vision, and their applications: medical visual question answering and multimodal pretraining. |
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Dr Jingqing ZhangResearch Associate |
Jingqing's research focuses on language models, natural language processing, deep learning, and their applications in healthcare and life science. Jingqing obtains his PhD from DSI under Yike's supervision and is now a Research Associate. |
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Nazanin Zounemat KermaniResearch Associate |
Nazanin is lead data analyst of the PIONEER project (https://prostate-pioneer.eu), a European Network of Excellence for Big Data in Prostate Cancer, consisting of 32 partners across 9 countries. She is interested in the clinical aspects of machine learning, combining and analysing patients' records and omics data to better understand disease mechanisms. |
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Siyao WangResearch Assistant |
Siyao is a postgraduate researcher working under the supervision of professor Yi-ke Guo. He works in the IDEA-FAST project contributing to data management platform developed and hosted by Imperial College London. His research interests includes data management, data analysis and deep learning. |
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Isha KshirsagarSoftware Developer |
Masters graduate in advanced computer science from the University of Leeds, I'm set to embark on a role as a software developer at Imperial College London's Data Science Institute. Committed to crafting innovative app features, I bring a passion for technology and a drive for excellence. |