Staff
Staff
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Professor Yike Guo
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.
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Dr Mark Kennedy
Affiliations
Dr Mark Kennedy is Co-Director ad interim of the DSI. He also holds a position in the Business School as associate professor.
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Dr Wenjia Bai
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...
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Dr Yves-Alexandre de Montjoye
Personal details
Dr Yves-Alexandre de Montjoye Assistant Professor in the Dept.of Computing and at the DSIAffiliations
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
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Anna Cupani |
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. |
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Ms Diana O'Malley |
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. |
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Florian Guitton |
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. |
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Ms. Alex Haighton |
Alex Haighton is responsible for the operational management of the Data Science Institute. She works with the Director of the Institute, Professor Yi-Ke Guo, to develop policy and strategy, managing and coordinating administrative support and governance. |
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Ping Huang |
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. |
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Dr Kai Sun |
In addition to working as a data analyst, Kai handles the communication and collaborations between the Data Science Institute and our Chinese collaborator HNA. |
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Andrianirina Rakotoharisoa Systems Administrator andrianirina.rakotoharisoa19@imperial.ac.uk |
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
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Dr Rossella Arcucci |
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. |
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Ana-Maria Crețu |
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. |
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Dr Chengliang Dai |
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. |
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Ibrahim Emam |
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. |
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Florian Guitton |
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. |
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Ali Farzaneh Far |
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. |
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Andrea Gadotti |
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. |
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Florimond Houssiau |
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. |
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Shubhan Jain |
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. |
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Nazanin Zounemat Kermani |
Nazanin Zounemat Kermani is currently lead data analyst at Data Scient Institute working on the PIONEER project https://prostate-pioneer.eu. 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. |
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Dr. K S Sesh Kumar
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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. |
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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. |
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Philip Nadler |
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. |
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Dr César Quilodran Casas |
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. |
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Pierre Richemond |
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. |
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Luc Rocher |
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. |
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Fernando Rosas |
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. |
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Dr Ovidiu Șerban |
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. |
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Mihai Șuteu |
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. |
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Arnaud Tournier |
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. |
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Dr Nguyen Truong |
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. |
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Pan Wang |
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Dr Shuo Wang |
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. |
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Siyao Wang |
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.
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Yuting Xing |
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. |
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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. |
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Xiaoyu Zhang |
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. |
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Jingqing Zhang |
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
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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. |
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Dr Miguel Molina-Solana
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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. |
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Dr James Scott-Brown |
James joined the DSI having completed his PhD at Oxford University. James works on large scale visualisations for the DSI Data Observatory. Since leaving the DSI James, has joined the Big Data Institute at the University of Oxford. |
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Senaka Fernando |
Senaka was the Systems Architect for the Data Observatory undertaking the design and development of its architecture and underlying systems. He worked as 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. |
