Mrs Alice Ashley-Smith

Operations manager
a.ashley-smith@imperial.ac.uk

Alice Ashley-Smith 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.

Anna Cupani

Stakeholder engagement manager
a.cupani11@imperial.ac.uk

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.

Ms Diana O'Malley

Events manager
d.omalley@imperial.ac.uk  

Diana is the DSI Events Manager, responsible for 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.

Dr Susan Mulcahy

Senior education and teaching fellow 
s.mulcahy@imperial.ac.uk

Susan Mulcahy is the DSI Senior Education & Teaching Fellow, developing the educational offering of the DSI. Susan obtained her data-driven PhD from Imperial’s Bioengineering Department, where she has taught Matlab classes since 2012. She holds an undergraduate degree in Mechanical Engineering from Purdue University and a MBA from INSEAD.

Florian Guitton

Data centre operations manager
f.guitton@imperial.ac.uk

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

Project manager (China Collaboration)
p.huang@imperial.ac.uk

As Project 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.

Senaka Fernando

Data Observatory Systems Architect
senaka.fernando15@imperial.ac.uk

Senaka 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 postgraduate researcher in the Department of Computing under the supervision of Professor Yike Guo

Dr Kai Sun

HNA centre manager
kai.sun09@imperial.ac.uk

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

James Scott-Brown

Visualisations
j.scott-brown@imperial.ac.uk

James has recently joined the DSI having just completed his PhD at Oxford University. James works on large scale visualisations for the DSI Data Observatory.

Dr Julio Amador Díaz López

Research fellow
j.amador@imperial.ac.uk

Julio joined the DSI through an Imperial College Research Fellowship. He holds a PhD from the University of Essex and has experience in Machine Learning, Natural Language Processing, Recommender Systems, Social Networks and Game Theory.
His work aims at understanding how false information (often referred to as "fake news") is different from authentic information, how deceivers seed and spread fake information and how policy-makers could regulate platforms where fake information is abundant. 

Dr Rossella Arcucci

Research fellow
r.arcucci@imperial.ac.uk

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.

Luis Baca Ruiz

Postgraduate researcher
l.baca-ruiz@imperial.ac.uk

Luis is a postgraduate researcher in the Department of Computer Science and Artificial Intelligence at the University of Granada (Spain), and a visiting researcher at the Data Science Institute where he works on time-series clustering. Luis obtained his BS in Computer Science from the University of Granada in 2014, specialising in computing and artificial intelligence.
His research interests include time series, energy efficiency, neural networks and data mining techniques.

Dr Francis Bunnin

Research Fellow
f.bunnin@imperial.ac.uk

Francis joined the Data Science Institute in 2019. His research interests include Bayesian modelling, statistical learning theory, and machine learning applied to the social sciences and health. He has a background in financial derivatives modelling and trading.

Ana-Maria Crețu

Postgraduate researcher
a.cretu@imperial.ac.uk

Ana-Maria is a postgraduate researcher in the Computational Privacy Group affiliated to the Data Science Institute. She graduated from the École Polytechnique, France and holds an MSc in computer science from EPFL, Switzerland.
Her current research project is on the application of machine learning for re-identification.

Dr Chengliang Dai

Research associate
c.dai@imperial.ac.uk

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
i.emam@imperial.ac.uk

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.

Jeremy Georges-Filteau

Postgraduate researcher

Jeremy joined the Dutch company The Hyve in 2018 to pursue an industrial PhD as an Early-Stage Researcher in the AiPBAND project, funded by the H2020 Marie Skłodowska-Curie actions. He is currently visiting the DSI for a secondment and he is collaborating with Xiaoyu Zhang in developing the AiPBAND glioma diagnostic platform and developing a synthetic clinical data generator.

Florian Guitton

Research associate
f.guitton@imperial.ac.uk

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.farzanehfar@imperial.ac.uk

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.

Andrea Gadotti

Postgraduate researcher
a.gadotti17@imperial.ac.uk

Andrea has an MSc in mathematical logic from the University of Turin, Italy. 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

Postgraduate researcher
f.houssiau17@imperial.ac.uk

Florimond received his MSc in applied mathematics from UCLouvain. He his now a 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 is currently doing a 3-month internship at Google in Zurich, Switzerland.

Ignacio Huitzl Velasco 

Postgraduate researcher
i.huitzil-velasco@imperial.ac.uk

Ignacio is a postgraduate researcher and member of the Distributed Information Systems Group at University of Zaragoza (Spain). His main areas of interest are Semantic Web, Ontologies, Mobile Computing related to uncertainty and approximate reasoning. Ignacio is a visiting researcher at the Data Science Institute where he works with implementation of a tool to support decision making in a real case of Building Information Modeling.

Shubhan Jain

Postgraduate researcher
s.jain@imperial.ac.uk

Shubham is a research assistant and postgraduate researcher 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.

Stefano Marrone

Postgraduate researcher
s.marrone19@imperial.ac.uk

Stefano is a postgraduate researcher at the University of Naples Federico II and a visiting fellow in the Computational Privacy Group affiliated to the Data Science Institute.
His research interests include pattern recognition, adversarial learning and embedded systems. He is currently working on the development of an adversarial learning-based approach as a defence against privacy and ethical issues in machine learning.

Yuanhan Mo (Max)

Postgraduate researcher
y.mo16@imperial.ac.uk

Yuanhan is a postgraduate researcher in the Department of Computing, 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
p.nadler@imperial.ac.uk

Philip is a postgraduate researcher in the Department of Computing, 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
cesar.quilodran-casas13@imperial.ac.uk

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.

Andrianirina Rakotoharisoa

Undergraduate researcher
andrianirina.rakotoharisoa19@imperial.ac.uk

Andria is an engineering student from the École Centrale de Nantes doing his MSc in Applied Mathematics and Computer Science. He is currently doing a 6-month secondment at the Data Science Institute under the supervision of Florian Guitton.
His project focuses on tracking accurately the gaze of people using the OVE (Open Visualisation Environment). With this data, he'll work on a model that uses machine learning to generate hypotheses on which screen information is important or could be important but is being ignored.

Pierre Richemond

Postgraduate researcher
p.richemond17@imperial.ac.uk

Pierre's 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.

James Scott-Brown

Research associate
j.scott-brown@imperial.ac.uk

James has recently joined the DSI having just completed his PhD at Oxford University. James works on large-scale visualisations for the DSI Data Observatory.

Dr Ovidiu Șerban

Research associate
o.serban@imperial.ac.uk

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.

Chon Sou

Research assistant
c.sou16@imperial.ac.uk

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

Mihai Șuteu

Postgraduate researcher
m.suteu16@imperial.ac.uk

Mihai is a postgraduate researcher 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

Postgraduate researcher
arnaud.tournier17@imperial.ac.uk

Arnaud is a postgraduate researcher 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.

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.

Pan Wang

Postgraduate researcher
pan.wang15@imperial.ac.uk

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.

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

Postgraduate researcher
jingqing.zhang15@imperial.ac.uk

Jingqing Zhang is a postgraduate researcher in the Department of Computing 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 Miguel Molina-Solana

Research Fellow
m.molina-solana@imperial.ac.uk

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.