• Professor Yike Guo


    Personal details

    Professor Yike Guo Co-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

    Mark Kennedy

    Personal details

    Dr Mark Kennedy Co-director ad interim


    Dr Mark Kennedy is Co-Director ad interim of the DSI. He also holds a position in the Business School as associate professor.

  • Dr Wenjia Bai


    Personal details

    Dr Wenjia Bai Lecturer jointly at DSI and Dept of Medicine


    Dr Wenjia Bai is a lecturer jointly at DSI and Dept of Medicine, Imperial College London. His research focuses on developing novel image computing and machine learning algorithms for medical image analysis and applying the algorithms to clinical research. Currently, he is actively involved in the UK Biobank Project and...

  • Dr Yves-Alexandre de Montjoye


    Personal details

    Dr Yves-Alexandre de Montjoye Assistant Professor in the Dept.of Computing and at the DSI


    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. Yves-Alexandre has been a Special Adviser to EC Commissioner Vestager.

Staff cont

Institute Management Team

 Anna Cupani

Anna Cupani
Stakeholder engagement manager

Anna coordinates the DSI Fellows network, supports grants applications and promotes collaborations within Imperial and with external partners. She brings to the DSI years of experience in research, both in academia and in industry, as well as in foresighting, communication, outreach and engagement. 
She is responsible for the internal and external communication strategy of the DSI, designs and facilitates workshops, and supports cross-college collaborations in various capacity. 
She holds a degree in Chemistry, a MSc in Molecular Sciences and a PhD in process chemistry obtained jointly at Imperial College, JnJ and VITO.

Diana O'Malley

Ms Diana O'Malley
Events manager

Diana is the DSI Events Manager, responsible for organization and delivery of all the DSI event programmes, to include: Distinguished Lecture Series, Seminar Series, Annual Lecture Series, conferences, topical debates, workshops and public engagement activities.


Florian Guitton
Data centre operations manager

Florian 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. 


Ping Huang
Executive Manager (China Collaboration)

As Executive Manager (China Collaboration) at the DSI, Ping coordinates the operational and research project management of the Joint Lab for Applied Data Science (Lab) between Imperial College and Zhejiang University (ZJU) . She is central to the consolidation of the ever growing relationship of the DSI with Chinese academic/ industrial partnerships.


Dr Kai Sun
Deputy Operations manager

In addition to working as a data analyst, Kai handles the communication and collaborations between the Data Science Institute and our Chinese collaborator HNA.

Andrianirina Andrianirina Rakotoharisoa
Systems Administrator

Andria has recently been appointed Systems Administrator at the Data Science Institute after completing his MSc in Computer Science at the Ecole Centrale de Nantes in France. Andria's main role at the DSI is to assist in the maintenance and the improvement of the Data Observatory,  Visual Corridor and the DSI Cloud. 

Research Staff


Dr Rossella Arcucci
Research fellow

Rossella is a research fellow in data analysis. The main topic of her research is data assimilation and/with machine learning, applied to several case studies.
Her areas of expertise are numerical analysis, scientific computing, and the development of methods, algorithms and software for scientific applications on high-performance architectures including parallel and distributed computing.
At the DSI, she leads and coordinates the activities of the DataLearning Working Group and supervises MSc students and early career researchers.

 Ana-Maria Cretu

Ana-Maria Crețu
Postgraduate researcher

Ana-Maria is a postgraduate researcher in the Computational Privacy Group affiliated to the Data Science Institute, pursuing her PhD in machine learning for re-identification. She graduated from the École Polytechnique, France and holds an MSc in computer science from EPFL, Switzerland.

Chengliang Dai

Dr Chengliang Dai
Research associate

Chengliang works on a joint initiative between the Data Science Institute and the Institute for Translational Medicine and Therapeutics to develop a translational platform for analysis of brain imaging datasets held in the UK Biobank. He acquired his PhD in computer science from the University of York in 2016 and joined the DSI in 2018.
His research interests include biomedical data processing, time series analysis and deep learning in medical image analysis.


Ibrahim Emam
Research associate

Ibrahim is a research associate leading the development of the Translational medicine data management platform (PlatformTM). Before that, he was a senior software engineer in 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.


Florian Guitton
Research associate

Florian manages the networking and data centre operations at the DSI. In 2012 he joined the Discovery Sciences Group at Imperial College London where he worked on iHealth and eTRIKS programs, among others. Florian is also undertaking a PhD under the supervision of Professor Yi-Ke Guo.


Ali Farzaneh Far
Postgraduate researcher

Ali's postgraduate research focuses on quantifying the impact of algorithmic decision making on society. Today, rich data sets of human behaviour are collected, catalogued, and used for targeting and personalised services. Ali studies the effect of the tools used to leverage such data sets, on their host markets and on society at large. A second area of interest is the study of the limits of privacy in the context of large scale human behavioural datasets.
Ali holds an MSc in high energy particle physics jointly from the University of Southampton and CERN and is completing his PhD in the Computational Privacy Group affiliated to the Data Science Institute.


Andrea Gadotti
Postgraduate researcher

Andrea has an MSc in mathematical logic from the University of Turin, Italy and is currently working on his PhD in the Computational Privacy Group. His research aims at formalizing privacy guarantees with purely mathematical models such as differential privacy. This enables him to disclose vulnerabilities in current data release systems and to design safer solutions. 

Florimond Houssiau

Florimond Houssiau
Postgraduate researcher


Florimond received his MSc in applied mathematics from UCLouvain. He his now a PhD researcher in the Computational Privacy Group. His research interests include obfuscation as a solution for privacy on the Web, the impact of network effects on privacy and other privacy-related topics. He has recently finished a 3-month internship at Google in Zurich, Switzerland.

 Shubhan Jain

Shubhan Jain
Research Assistant

Shubham is a research assistant working towards his PhD in the Computational Privacy Group. He received his BTech from IIT Bombay in computer science and engineering in 2016. He was a founding member of, a startup developing deep learning solutions for the health sector. His research interests include building secure and privacy enabling systems at scale, wifi security and fairness in algorithmic decision making.


Nazanin Zounemat Kermani 
Research Assistant

Nazanin Zounemat Kermani is currently lead data analyst at Data Scient Institute working on the PIONEER project PIONEER is a European Network of Excellence for Big Data in Prostate Cancer, consisting of 32 partners across 9 countries. She started her PhD at Imperial College in 2013 supervised by Prof Zoltan Takats and Prof Yike Guo. In 2017 she worked on the U-BIOPRED (Unbiased BIOmarkers in PREDiction of respiratory disease outcomes) project as a data analyst. U-BIOPRED is an European research project using information and samples from adults and children to learn more about different types of asthma to ensure better diagnosis and prognosis of asthma.
She is now interested in the more clinical and applicational aspects of machine learning, rooted in combining and analysing the patient records and various data modalities including omics data to enable better understanding of disease mechanisms.


Dr K S Sesh Kumar
Research Fellow

Dr. K S Sesh Kumar is a research fellow in machine learning. His research interest  is to propose scalable solutions to submodular optimisation, Bayesian optimisation and Bayesian nonparametrics.

He finished his doctoral studies at ENS/INRIA, Paris under the supervision of Prof. Francis Bach in 2016. He was a post doctoral researcher in the Kolmogorov Group, IST Austria headed by Prof. Vladimir Kolmogorov until October, 2017. He joined Imperial College, London in December, 2017 as a Leverhulme Centre for the Future of Intelligence research fellow for the Trust and Transparency project at the Statistical Machine Learning group until August, 2019.


Yuanhan Mo (Max)
Postgraduate researcher

Yuanhan is a postgraduate researcher in the Department of Computing, enrolled in a PhD programme under the supervision of Professor Yi-Ke Guo. His research interests include machine learning and medical image analysis. Yuanhan recently received the young scientist award at the premier Medical Imaging conference MICCAI 2018.


Philip Nadler
Postgraduate researcher

Philip is a postgraduate researcher in the Department of Computing, working on his PhD supervised by Professor Yi-ke Guo. He obtained his Research Master in economics from Maastricht University where he also used to work as a research assistant in the area of Bayesian inference and high-dimensional time series analysis.
His research is at the intersection of economics and computer science, analysing cryptocurrencies and advances in distributed ledger technology. He is also interested in the combination of econometric methodology and machine learning to improve high-dimensional inference.


Dr César Quilodran Casas
Research associate

César works in fast data assimilation with machine learning using air pollution data, as part of the Managing Air in Green Inner Cities (MAGIC) project, an EPSRC collaborative project between the University of Cambridge, University of Surrey and Imperial College London. He recently completed a PhD in physics at Imperial College under the supervision of professor Ralf Toumi.

Pierre Richemond

Pierre Richemond
Postgraduate researcher

Pierre's PhD research is in deep reinforcement learning. He also helps to run the Deep Learning Network and organises thematic reading groups at the DSI. Prior to that, he has worked in electronics as a research engineer and in quantitative finance as a trader. He has studied electrical engineering at ENST, probability theory and stochastic processes at Université Paris VI - École Polytechnique, and business management at HEC.
His other research interests include neural network theory and stochastic optimization methods.

Luc Rocher

Luc Rocher
Research Assoicate

Luc joined the DSI as a research associate. He holds a PhD from UCLouvain and studies the limits of privacy and anonymity in the modern age. Luc's work challenges the technical and legal adequacy of current de-identification techniques and calls for robust and transparent methods to restore trust in the data sharing economy.


Dr Fernando Rosas
Research Associate


Fernando is a postdoctoral researcher at the Data Science Institute, and also part of the Centre for Psychedelic Research at the Department of Brain Sciences. His work lays in the interface between computational neuroscience, complexity science, and information theory. His main interest is to develop novel, principled data-driven methods to differentiate and quantify various types of interdependency, and to apply these to deepen our understanding of complex dynamical systems -- with a focus on the human brain, and human-to-human interaction.
Fernando received the B.A. degree in music composition and philosophy (Minor), the B.Sc. degree in mathematics, and the M.S. and Ph.D. degree in engineering sciences from the Pontificia Universidad Católica de Chile, Santiago, Chile. He worked as Postdoctoral Research Assistant with the Departement Elektrotechniek (ESAT) of KU Leuven, as Postdoctoral Fellow with the Graduate Institute of Communication Engineering of the National Taiwan University, and as Marie Curie Reseaerch Fellow with the Department of Mathematics and the Department of Electrical and Electronic Engineering at Imperial College London.

Ovidiu Serban

Dr Ovidiu Șerban
Research Fellow

At the DSI, Ovidiu focuses on modern data science techniques, including large scale visualisation and realtime natural language processing. His research interests and expertise also include natural language processing, machine learning, affective computing, and interactive system design.


Mihai Șuteu
Postgraduate researcher

Mihai is a postgraduate researcher, working on PhD under the supervision of professor Yike Guo. His research topic is deep learning on time series. His further interests are in representation learning, curriculum learning, and neuroevolution.

Arnaud Tournier

Arnaud Tournier
Postgraduate researcher

Arnaud is a postgraduate researcher completing his PhD under the supervision of  Dr Yves-Alexandre de Montjoye in the Computational Privacy Group affiliated to the Data Science Institute. His research currently focuses on machine learning for biometric and behavioral identification. He holds an MRes from Sorbonne (UPMC) in applied mathematics, an MSc from Paris-Sud in pure mathematics and an engineering diploma (Centralien) from École Centrale, Paris. In 2013 he was a national finalist in France for the International Physics Olympiads.

Nguyen Truong

Dr Nguyen Truong
Research associate

Nguyen received his PhD and Masters degrees from Liverpool John Moores University, United Kingdom and Pohang University of Science and Technology, Korea in 2018 and 2013, respectively. He was a software engineer at DASAN Networks, a leading company on Networking Products and Services in Korea from 2012 to 2015. His research interests are in the area of security, privacy and trust in the Internet of Things, blockchain technology, personal information management, and cloud computing.


Pan Wang
Postgraduate researcher


Dr Shuo Wang
Research associate

Shuo has joined the DSI in 2019 working on the SmartHeart project. The project aims to develop an integrated approach for cardiovascular MR imaging (cMRI) reconstruction, image analysis and clinical interpretation. His research interests include developing machine learning methods for biomedical image analysis and clinical assessment.

Siyao Wang

Siyao Wang
Postgraduate researcher

Siyao Wang is a postgraduate researcher at the DSI under the supervision of Professor Yi-ke Guo. He works in the IDEA-FAST Project contributing to data management platform developed and hosted by ICL. His research interests includes data management, data analysis and deep learning.



Yuting Xing
Postgraduate researcher

Yuting Xing is a postgraduate researcher in the Department of Computing, pursuing her PhD under the supervision of Professor Yi-Ke Guo. Her research interest includes natural language processing, deep learning and data science.

Xiaoyu Zhang

Xiaoyu Zhang
Research assistant

Xiaoyu Zhang is a Marie Curie Early Stage Researcher at the Data Science Institute, joining the PhD programme under the supervision of professor Yi-Ke Guo. He works on the MSCA-ITN-2017 project "An Integrated Platform for Developing Brain Cancer Diagnostic Techniques" to develop big sensing intelligent warehouse for translation and clinical diagnosis study.

 Jingqing Zhang

 Jingqing Zhang
Postgraduate researcher

Jingqing Zhang is a postgraduate researcher in the Department of Computing, pursuing his PhD under the supervision of Professor Yi-Ke Guo. His research interest includes text mining, multimodality, deep learning and data science. He is supported by a LexisNexis HPCC scholarship.




Dr Francis Bunnin


Francis Oliver Bunnin worked at the DSI prior to his current role at The Alan Turing Institute where he is researching Bayesian data science approaches to combatting violent and exploitative crime. He completed his PhD at Imperial with Professors Yike Guo and John Darlington. Apart from academic research he worked for 20 years in financial data analysis, software development, and primarily rates trading managing multi-billion USD exotic derivative and multi-currency proprietary portfolios through and beyond the financial crisis.  He is interested in the theory and practice of decision making under uncertainty, stochastic processes, multi-objective Reinforcement Learning, social choice and preference theory, Graphical and network models, agent based modelling and micro-foundations of macro systems in economics and society. He enjoys swimming, walking in nature and bringing up his family.

Senaka Fernando

Senaka worked as Systems Architect for the Data Observatory undertaking the design and development of its architecture and underlying systems. He was part of the DSI infrastructure group to 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 was a postgraduate researcher in the Department of Computing under the supervision of Professor Yike Guo.
He is currently working at WSO2 as Senior Director - Technology Evangelism. 


Dr Miguel Molina-Solana
Honorary Research Fellow

Miguel worked at the DSI as Marie Curie Research Fellow. His research is 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 collaborated with several researchers at Imperial College and worldwide in particular on business analytics and energy management.
He is now based at the University of Granada.

James Scott-Brown

Dr James Scott-Brown

James joined the DSI having completed his PhD at Oxford University. He worked on large scale visualisations for the DSI Data Observatory completeing a project on healthcare data with Dr Ceire Costelloe and upgrading the interface for the use of the observatory by presenters. 
Since leaving the DSI James, has joined the Big Data Institute at the University of Oxford.

Xian Yang

Dr Xian Yang

From 2012 to 2018 Xian worked as research associate in the Data Science Institute at Imperial College London. During this period, she took part in many cross-European research projects, such as UBIOPRED (severe asthma subtyping), eTRIKS (knowledge management platform for translational medicine), Optimise (multiple sclerosis disease prognosis and treatment) and iHealth (clinical treatment pathway optimisation). In these projects she developed machine learning methods to analyse and construct predictive models from Omics, clinical and survey data. From 2018 to 2019, she worked at Microsoft Research Asia on data intelligence for cloud systems.
She is now assistant professor in Computing at the Hong Kong Baptist University.