Staff

  • Professor Yike Guo

    Yike

    Personal details

    Professor Yike Guo Co-director

    Affiliations

    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

    Affiliations

    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

    wenjia

    Personal details

    Dr Wenjia Bai Lecturer jointly at DSI and Dept of Medicine

    Affiliations

    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

    Yves-Alexandre

    Personal details

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

    Affiliations

    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

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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

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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.

flo

Florian Guitton
Data centre operations manager

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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

Ping Huang
Executive manager (China Collaboration)

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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.

Kai Sun

Dr Kai Sun
Deputy Operations manager

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Kai is responsible for operational management of the DSI, supporting the Co-Directors to run the day to day operations and liaising with internal teams to deliver compelling propositions across a portfolio of activities including research, education, innovation and recruitment. In addition to working as the Acting Operations Manager, she also manages several translational research projects in the DSI, such as the IMI 2 IDEA-FAST project. Kai joined the DSI in 2014 as a Research Associate after she obtained her Phd in Computing from Imperial College London.

Andrianirina Andrianirina Rakotoharisoa
Systems Administrator

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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

RossellaArcucci

Dr Rossella Arcucci
Research fellow

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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.

Berke Doğa Başaran

Berke Doğa Başaran
Postgraduate researcher

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Doğa is a postgraduate researcher pursuing a PhD in the AI4Health CDT studying Multiple Sclerosis brain lesion segmentation using machine learning. He is affiliated jointly to the Data Science Institute and the BioMedIA Group, supervised by Dr Wenjia Bai and Professor Paul Matthews.
Doğa obtained his MSc in Biomedical Engineering at Imperial College and his MEng at the University of Oxford.

sibo Cheng

Sibo Cheng
Research Assistant
sibo.cheng@imperial.ac.uk

Sibo is a Research Assistant at the Data Science Institute since November 2020. His research combines data assimilation and machine learning algorithms for predicting dynamical systems with the application to wildfire forecasting. He recently completed his PhD at Paris-Saclay University, in cooperation with EDF R&D, under the supervision of Dr. Didier Lucor.

He is also broadly interested in a large range of problematics in Applied mathematics, Computational Geoscience and Machine Learning (graph theory, data compression for dynamical systems, Covariance estimation, etc)

 Ana-Maria Cretu

Ana-Maria Crețu
Postgraduate researcher

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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

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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

Ibrahim Emam
Research associate

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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

Florian Guitton
Research associate

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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

Ali Farzaneh Far
Postgraduate researcher

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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

Andrea Gadotti
Postgraduate researcher

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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

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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.

Julia Ive

Dr Julia Ive
Research fellow

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Julia is a research fellow in Natural Language Processing working on a range of text generation problems. She also works on synthetic medical data to address the data accessibility issue in the clinical domain.

 Shubhan Jain

Shubhan Jain
Research assistant

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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 Qure.ai, 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

Nazanin Zounemat Kermani 
Research Associate

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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 started her PhD at Imperial College in 2013 supervised by Professors Zoltan Takats and Yike Guo. She has worked as data analyst on the U-BIOPRED project (Unbiased BIOmarkers in PREDiction of respiratory disease outcomes), a European research project that uses medical data of adults and children to investigate different types of asthma and ensure better diagnosis and prognosis.
She is interested in the clinical aspects of machine learning, combining and analysing patients' records and omics data to better understand disease mechanisms.

Sesh

Dr K S Sesh Kumar
Research Fellow

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Dr K S Sesh Kumar is a research fellow in machine learning. His research interests are on scalable solutions to submodular optimisation, Bayesian optimisation and Bayesian nonparametrics. He finished his doctoral studies at ENS/INRIA, Paris, under the supervision of Professor Francis Bach in 2016. He was a post doctoral researcher in the Kolmogorov Group, IST, Austria, headed by Professor 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 in the Statistical Machine Learning group before joining the DSI in August 2019.

PhilipNadler

Philip Nadler
Postgraduate researcher

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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.

ryan ong

Ryan Ong
Postgraduate researcher

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Ryan is a postgraduate researcher pursuing his PhD under the supervision of Professor Yi-Ke Guo. He is supported by a Royal Bank of Canada scholarship and his work is at the intersection of finance and computer science, specifically financial knowledge graphs. His research interests include natural language processing, knowledge graphs, informational retrieval, and data science.
He holds an MSc in Computer Science from Imperial College London and a BSc in Economics from the University of Bath and has worked at multiple startups and large corporates as a data scientist.

Cesar

Dr César Quilodran Casas
Research associate

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César is part of the team behind 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. His work focuses on fast data assimilation with machine learning methods to analyse air pollution data. He obtained his PhD in physics at Imperial College London under the supervision of professor Ralf Toumi.

Pierre Richemond

Pierre Richemond
Postgraduate researcher

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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 associate

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Luc joined the DSI as a research associate in the Computational Privacy Group. Luc holds a PhD from UCLouvain, Belgium, and currently 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.

 Fernando

Dr Fernando Rosas
Research fellow

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Fernando is a research fellow jointly at the DSI, and at the Centre for Psychedelic Research at the Department of Brain Sciences. His work lays at 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 methods to deepen our understanding of complex dynamical systems - with a focus on the human brain, and human-to-human interaction.
Fernando received the BA degree in music composition and philosophy (Minor), a BSc degree in mathematics, and an MS and PhD degree in engineering sciences from the Pontificia Universidad Católica de Chile, Santiago, Chile. He worked as postdoctoral research assistant in the Departement Elektrotechniek (ESAT) of KU Leuven, Belgium, as postdoctoral fellow in the Graduate Institute of Communication Engineering of the National Taiwan University, and as Marie Curie research fellow in the Department of Mathematics and the Department of Electrical and Electronic Engineering at Imperial College London.

Ovidiu Serban

Dr Ovidiu Șerban
Research fellow

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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

Mihai Șuteu
Postgraduate researcher
m.suteu16@imperial.ac.uk

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.

Tao

Guanyu Tao
Research Assistant
g.tao@imperial.ac.uk

Guanyu Tao is a research assistant at the Data Science Institute. He works on the IDEA-FAST Project contributing to data management platform and analytical environment developed and hosted by ICL. His research interests include data analysis, deep learning and data management.

Arnaud Tournier

Arnaud Tournier
Postgraduate researcher

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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
n.truong@imperial.ac.uk

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.

Shuo

Dr Shuo Wang
Research associate
shuo.wang@imperial.ac.uk

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  s.wang18@imperial.ac.uk

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

Yuting Xing
Postgraduate researcher
y.xing19@imperial.ac.uk

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
x.zhang18@imperial.ac.uk

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.zhang15@imperial.ac.uk

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.

Alumni

Francis

 

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
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. 

max

Yuanhan Mo (Max)

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.

 miguel

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.

pan

Pan Wang
Postgraduate researcher
pan.wang15@imperial.ac.uk

 
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.