• Professor Yike Guo


    Personal details

    Professor Yike Guo Director


    Professor Yike Guo is the Institute's first Director. Yike also hold a position in the Department of Computing as leader of the Discovery Science Group. 

  • Dr. Mark Kennedy


    Personal details

    Dr. Mark Kennedy Deputy Director (Education)


    Dr Mark Kennedy is lab director of the DSI Business Analytics Lab , as well as  Associate Professor of Organisational Behavior and Strategy at the Imperial College Business School. 

  • Professor Niall Adams


    Personal details

    Professor Niall Adams Deputy Director (Policy and Public Engagement)


    Niall Adams is Professor of Statistics at Imperial College London. In addition to a variety of undergraduate and postgraduate teaching, he conducts research in classification, data mining, streaming data analysis and spatial statistics.

  • Professor Paul Matthews


    Personal details

    Professor Paul Matthews Deputy Director (Academic Engagement)


    Paul Matthews, OBE, MD, DPhil, FRCP, FMedSci is Head of the  Division of Brain Sciences  in the Department of Medicine of Imperial College, London. He has recently been named as Director of the UK Dementia Research Institute at Imperial College, as well as Deputy Director at the DSI. 

Staff cont

Lab Directors


Dr. Yves-Alexandre de Montjoye

Computational Privacy Lab Director

Dr. Yves-Alexandre de Montjoye is the Assistant Professor at the Data Science Institute. He was previously a postdoctoral researcher at Harvard IQSS and was recently named was recently named an Innovator under 35 for Belgium (TR35). 


Professor William Knottenbelt

Data Economy Lab Director

Professor William Knottenbelt is the Professor of Applied Quantitative Analysis in the Analysis, Engineering, Simulation and Optimization of Performance (AESOP) group in the Department of Computing at Imperial. 

Dr. Mark Kennedy

Business Analytics Lab Director

Dr Mark Kennedy is lab director of the DSI Business Analytics Lab , as well as Associate Professor of Organisational Behavior and Strategy at the Imperial College Business School. 

Professor Chris Pain 

Data Assimilation Lab Director

Professor Chris Pain is a Professor in the department of Earth Science and Engineering, as well as head of the Applied Computation and Modelling Group (AMCG) at ICL. 

Professor Armand Leroi 

Social and Cultural Analytics Lab Director

Professor Armand Leroi is an author, broadcaster, and Professor of Evolutionary Developmental Biology at Imperial.

 Dr. Aldo Faisal

Behavioural Analytics Lab Director

 Dr Faisal is a Senior Lecturer in Neurotechnology jointly at the Dept. of Bioengineering and the Dept. of Computing at Imperial College London. 

Marc Deisenroth

DR Marc Deisenroth

Machine Learning Lab Director


Dr Marc Deisenroth is a Lecturer (equivalent to an Assistant Professor in the US) in Statistical Machine Learning at the Department of Computing, Imperial College London, and the PI of the Statistical Machine Learning Group

 Marc's research interests center around data-efficient and autonomous machine learning.

Operations Team


Mrs. Alice Ashley-Smith

Operations Manager

Mrs. Alice Ashley-Smith is responsible for the operational management of the Data Science Institute. She works with the Director of the Institute, Professor Yike Guo, to develop policy and strategy, managing and coordinating administrative support and governance.

 Anna Cupani

Anna Cupani
Stakeholder Engagement Manager

Anna develops strategic relationships between the DSI Fellows and external partners. She engages with business, academics and policy makers to promote the role of the DSI as a research hub for innovative ideas in the field of Data Science.

Ms. Diana O'Malley

Events Officer and PA  

 Ms. Diana O'Malley organizes the events at the DSI, as well as is Professor's Yike Guo's personal assistant. 

Dr. Susan Mulcahy

Education and Teaching Fellow

Dr. Susan Mulcahy is Education and Teaching Fellow for the DSI.

Mr. Florian Guitton

Data Centre Operations Manager

Mr. Florian Guitton manages the networking and data centre operations at the DSI. In 2012 he joined the Discovery Sciences Group at Imperial College London where he became Research Assistant working on iHealth and eTRIKS programs. In 2013 he become PhD candidate under the supervision of Professor Yi-Ke Guo.

Senaka Fernando
Data Observatory Systems Architect


Senaka Fernando is the Systems Architect for the Data Observatory undertaking the design and development of its architecture and underlying systems. He is a part of the DSI infrastructure group and helps maximise the use of the DO as a research environment within the Data Science Institute. Senaka has 10 years of industry experience working as a solutions architect in the enterprise middleware domain and he is also a PhD student in the Department of Computing at the Imperial College London under the supervision of Prof. Yike Guo
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Mr. Dave Akroyd

Data Observatory Engineer

Dave Akroyd helps run and maintain the Data Obervatory and its operations. 

Dr. Kai Sun

HNA Centre Manager

In addition to working as a data analyst, Dr. Kai Sun handles the communication and collaborations between us and our Chinese research partners and collaborators.
Alex Mellor

Alex Mellor
Corporate Partnerships Associate



Alex supports the development of strategic research collaborations between Imperial College London and its corporate partners, with a particular emphasis on research opportunities for the Data Science Institute and the Faculty of Engineering.

Research Staff

Paul Agapow

Dr. Paul Agapow

Research Associate

Paul Agapow is a computational biologist, investigating novel approaches for analysing rich biomedical data for improved treatment and understanding of molecular pathophysiology. Specific areas of interest include deep learning, integrative analysis, and mining health records.


Dr. Rossella Arcucci

Research Associate

Rossella Arcucci is a Research Associate working in the DSI for MAGIC project on Data Assimilation for air pollution problems. Her area of expertise is in Numerical Analysis, Scientific Computing and development of methods, algorithms and software for scientific applications on high performance architectures including parallel and distributed computing. At the moment, she is mainly working on numerical and parallel techniques for solving Data Assimilation models more accurately and efficiently. Efficiency is achieved by virtue of designing computing models specifically to take full advantage of massively parallel computers and general purpose graphics processing units.

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Dr. David Birch

Research Associate

David Birch is a researcher focusing on how large scale visualisation and workflow systems can help make sense of data.
David led the team who designed and built the Data Observatory. 


Dr Guangwei Chen 

Research Associate

Guangwei Chen is a research associate in the DSI. Dr Chen is one of the main inventors of the AcuPebble wearable respiratory monitoring system. His research interests are in the area of biomedical signal processing, machine learning algorithms and low power wearable system design. Typical applications are in respiration monitoring, brainwave monitoring, heart monitoring and mHealth self-diagnosis tools. After the success of the AcuPebble development, Dr Chen's research focuses on transfer learning on physiological data which converts the generic machine learned models to the more accurate personalised models with the use of individual personal data. He also works on compressing and speedup deep convolutional networks which can be deployed on the non-GPU based platform.

 Hao Dong

Hao Dong

PhD Student

Hao Dong is a PhD student at the Department of Computing  under the supervision of Prof. Yike Guo and Prof. Paul M. Matthews. His interests are in Computer Vision and Deep Learning. He has publications on ICCV, TIFS, TMI, TNSRE, ACM MM 


Ibrahim Emam

Research Associate

Ibrahim Emam is Research Associate leading the development of Translational medicine data management platform (PlatformTM). Before that he was a senior software engineer at the Functional Genomics group at the European Bioinformatics Institute developing the Gene Expression Atlas and ArrayExpress2. He received his MSc in Bioinformatics from the University of Oxford and his double major BSc in Computer Science and Biology from the American University in Cairo Egypt. His working experience revolves around bioinformatics application design and development, large scale data management and analysis, data standardization, modeling and visualisation.


Dr. Vahid Elyasigomari

Research Associate

Vahid Elyasigomari obtained his PhD from Queen Mary, University of London in the field of Medical Engineering and Bioinformatics. He then joined the DSI where he has been working on projects such as eTRIKS and BioVacSafe. He currently works with a team at the DSI to develop a standards compliant platform (PlatformTM) for integration and management of translational medicine research data. 
His research interests are:
Bioinformatics and computational biology;
Evolutionary algorithms for clustering and classification of multi-category disease;
Integration and harmonisation of translational research data.


Mr. Florian Guitton
Research Associate

Mr. Florian Guitton manages the networking and data centre operations at the DSI. In 2012 he joined the Discovery Sciences Group at Imperial College London where he became Research Assistant working on iHealth and eTRIKS programs. In 2013 he become PhD candidate under the supervision of Professor Yi-Ke Guo.


Ali Farzaneh Far

PhD Student


Andrea Gadotti

PhD Student

 Andrea has a MSc in mathematical logic from the University of Turin. His research aims at formalizing privacy guarantees with purely mathematical models such as differential privacy. This enables him to both disclose vulnerabilities in current data release systems and design safer solutions.

Kevin Hua

Research Assistant


Kevin is a Research Assistant at the Data Science Institute, Imperial College London. He holds a MSc in Data Science and a MEng in applied mathematics and statistics. His research focuses on machine learning, data analytics and visualization.

Florimond Houssiau

Florimond Houssiau

PhD Student


Nazanin Kermani

Research Assistant


I am a biomedical data scientist. After obtaining a bachelor degree in software engineering, I decided that I am more interested in expert systems and artificial intelligence. I studied intelligent systems and multimedia as part of my MSc. Looking for fruitful areas to apply AI, I was directed to genomics and biomedicine where I’ve thrived as a biomedical data scientist. In particular, my research interests are in statistical modelling and inference. I am interested in working on the scalability of computationally intensive methods to fit big data and statistical methods to enhance research reproducibility. 


Piyawat Lertvittayakumjorn (Peter)

PhD Student

Piyawat (Peter) is a PhD student in Computing, under the supervision of Prof Yike Guo. His research interests include Natural Language Processing, Semantic Web, and Inter-disciplinary Data Mining. Currently, he is working on the project "Learning Knowledge Graphs from Scientific Literature.

 Thibaut Lienart

Thibaut Lienart

Research Assistant 



Dan McGinn

Research Associate

Dan McGinn works as a Research Associate at the Data Science Institute, his research interests include; Blockchain Technology, Open Data Infrastructure, Network/Graph Algorithms, Pattern Recognition, Anomaly Detection through Machine Learning, High Performance Computing/GPU clusters, Financial Technology, Data Economy.


Dr. Douglas McIlwraith

Research Fellow

Yuanhan Mo (Max)

PhD Student

Yuanhan is a PhD student in Computing Department, under the supervision of Prof Yike Guo. His research interests include machine learning and medical Image analysis.


Dr. Miguel Molina-Solana

Research Fellow

Dr Miguel Molina-Solana is a Marie Curie Research Fellow working at the intersection of Machine Learning and Human-Computer Interaction. In his current research project, DATASOUND, he explores the opportunities that sound offers in the context of modern Data Science. Miguel also collaborates with several researchers in college and worldwide on Business Analytics and Energy Management.


Philip Nadler

PhD Student

Philip Nadler is a PhD candidate in the Department of Computing supervised by Prof. Yike Guo.
He works on the intersection of topics related to economics and computer science. His fields of interest are cryptocurrencies, blockchain applications and machine learning.


Chon Sou

Research Assistant

Chon Sou obtained his Master of Research degree in Cancer Biology at Imperial College London. Currently, he is working as a data analyst under eTRIKS and takes part in maintaining and assessing bioinformatics knowledge management platforms such as tranSMART, XNAT and Borderline in development. 

Arnaud Tournier

Arnaud Tournier

PhD Student

Arnaud Tournier is a PhD student under supervision of  Dr. Yves-Alexandre de Montjoye at Imperial College London, where he works inside the Computational Privacy Group of the Data Science Institute. His research currently focuses on Machine Learning for biometric and behavioral identification. Over the last 5 years he obtained a M.Res. from Sorbonne (UPMC) in Applied Mathematics, a M.Sc. from Paris-Sud in Pure Mathematics and an Engineering Diploma (Centralien) from Ecole Centrale Paris. In 2013 he was a national finalist in France for the International Physics Olympiads.


Axel Oehmichen

Research Associate


Dr. Stelios Pavlidis

Research Associate 


Stelios Pavlidis is a bioinformatics data analyst at the Data Science Institute, involved in the curation and analysis of high throughput biomedical data. After acquiring his bachelor degree in General Biology, Dr Pavlidis obtained a master’s degree in Medical genetics and bioinformatics and a PhD revolving around biological data mining and writing algorithms for optimization and heuristic search, such as simulated annealing and genetic algorithms. He was previously a post-doctoral researcher at Janssen, a pharmaceutical Company of Johnson & Johnson, and has been and continues to be involved in multinational consortia, funded by the Innovative Medicines Initiative. These include eTRIKS, BTCure, U-BIOPRED and others, and aim towards improving our understanding of the underlying pathology of various diseases by supporting clinicians in clinical trials and providing the biomedical community with analytical tools, to facilitate and speed up the research process.


Eleni Pissaridou

Research Assistant


Eleni Pissaridou is a Research Assistant at the Data Science Institute working on the OPTIMISE MS project under the supervision of Professor Paul Matthews. Current interests include clinical data management and analysis. Eleni joined the Institute in April 2017.


Mihai Suteu

PhD Student

Mihai Suteu is a part time PhD student under the supervision of Prof. Yike Guo. His research topic is Deep Learning on Time Series and further interests are Representation Learning, Curriculum Learning and Neuroevolution.


Pan Wang

PhD Student


Dr Xian Yang

Research Associate

Xian received her PhD degree from Department of Computing, Imperial College London in 2016. She has been working as a research assistant at Imperial College London since 2012 and became a research associate in 2016. Her research interests include machine learning, neuroimaging, bioinformatics, system biology, data mining, statistics and health informatics. She has taken part in various projects, such as the UBIOPRED project on the severe asthma study, the iHealth project on clinical pathway management, and the eTRIKS project on knowledge management for precision medicine research. 

 Simiao Yu

 Simiao Yu

PhD Student

Simiao Yu is a PhD student under the supervision of Prof. Yike Guo. His research interest is deep generative models towards creativity in computer vision. He has publications in ICCV, TMI, ACM MM, etc.

 Jingqing Zhang

 Jingqing Zhang

PhD Student

Jingqing Zhang is a PhD student in the Department of Computing under the supervision of Prof. Yike Guo since 2017. His research interest includes text mining, multimodality, deep learning and data science. He is supported by LexisNexis HPCC scholarship.