Meet the Team
Management Team
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Dr Mark Kennedy
Director
Mark Kennedy leads the Data Science Institute (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 a Senior Lecturer in Data Science and Machine Learning 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 of the Data Science Institute, 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
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Amandeep Bahia
Research Group Administrator
Amandeep supports the day-to-day running of the Data Science Institute in terms of finance, HR and general office management.
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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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Dr Yves-Alexandre de Montjoye
Associate Professor
Dr Yves-Alexandre de Montjoye is Assistant Professor in the Department of Computing and Research fellow at the Data Science Institute where he heads the Computational Privacy Group.
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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
Data Observatory Team Leader
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.
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Researchers, Postdocs and PhD students
Data Learning Group
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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Arianna OlivelliResearch Postgraduate |
Arianna is a PhD student in chemical oceanography at the Grantham Institute and the Department of Earth Science and Engineering. Her research focuses on tracing lead pollution from sources on land to the ocean. |
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César Quilodrán-CasasResearch Associate |
César is a postdoctoral researcher working at the intersection of digital twins and environmental data science for different applications such as air pollution and extreme weather forecasting. |
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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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Jake LeverResearch Postgraduate |
Jake's research focuses on using data science and machine learning to increase the accuracy of natural disaster models and predictions and improve the social response to these types of events. |
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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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Dr Sibo ChengResearch Associate |
As a Postdoctoral Researcher, Sibo works on field reconstruction and parameters identification in dynamical systems using advanced machine learning and data assimilation methods with real-world applications, such as wildfire and fluid dynamics. |
Computational Privacy Group
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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Florient GuepinResearch Postgraduate |
Florent's research interests include privacy attacks against machine learning systems and generative sustems such as GANs. |
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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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Yifeng MaoResearch Postgraduate |
Yifeng's research interests include privacy-preserving ML, synthetic data generation protecting personal anonymity, and attach methods against cencus datasets and ML models. |
Medical Vision Group
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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Jing XuResearch Postgraduate
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Jing is a postgraduate researcher in the Department of Computing. Her research interest includes Artificial Intelligence, Machine Learning, Computer Vision and AI in Healthcare. She is affiliated jointly to the Data Science Institute and the BioMedIA Group. Jing obtained her Master‘s degree in Electronic and Information Engineering at Tsinghua University. |
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Kate ČevoraResearch Postgraduate
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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
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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
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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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Xinru ZhangResearch Postgraduate |
As a visiting Ph.D. student, Xinru's research in Neuro Imaging, guided by Dr. Wenjia Bai, centers on deep learning, with a focus on data augmentation methods and foundation model with prompts for Brain Imaging Segmentation. |
Data Curation, Knowledge Management and Visualisation
The Data Curation, Knowledge Management and Visualisation Group is led by Dr Ovidiu Serban.
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Mariya PavlovaResearch Postgraduate |
Mariya is a part of the Safe and Trustworthy AI CDT . Her research focuses on uncertainty estimation in LLMs. Her research interests are machine learning, NLP, generative AI. |
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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. |
Biomedical Informatics
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 Jingquin 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. |