Prior to Fidelity Investments, Edward was Commercial Strategy Manager in CLARITY devising and delivering a multi-university commercialisation strategy for data analytics research across many industry sectors. Edward helped create 7 spin-outs, and delivered in excess of €11M funding from industry and Government.
Edward has also spent 16 years with the Office of Strategy & Technology in Hewlett-Packard Europe, in various technical and senior management roles where he lead a global 20 person team. While at HP the team that Edward lead received the following awards:
- Scientific American Top 50 technologies that demonstrate outstanding leadership
- Grand Award and Overall Winner for Innovation, Popular Science (USA)
- Horizon Award “10 Cool Cutting Edge Technologies”, Computer World (USA)
Edward holds a PhD in Artificial Intelligence from the University of Edinburgh, the research for which, to everyone’s disbelief, including his own, won 5 national awards in the U.K. He is a Fellow of the IEE, and is the named inventor on 76 granted patents.
Prof. Pádraig Cunningham
He has previously worked with the Principal Investigators Barry O’Sullivan (theme two) from UCC and Brian Mac Namee (theme one) from DIT. Padraig has successfully sourced €6.5M in grant income over the last 10 years including Clique, a Science Foundation Ireland (SFI) strategic research cluster on Network Data Analytics.
Pádraig is Professor of Knowledge and Data Engineering in the School of Computer Science and Informatics in University College Dublin. He has over 15 years’ experience in applications of Machine Learning and Data Mining. He also has experience in network data analysis, supervised machine learning, feature selection and clustering. He has worked on the identification of anomalous patterns in very large volumes of data, initially in email spam detection and more recently in financial fraud detection.
Dr. Brian Mac Namee
Brian has over 10 years experience working in applications of data analytics to real-world problems, with a particular emphasis on machine learning, novelty detection and data visualisation. Brian has written over 70 peer reviewed publications and is co-author of the text book Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies published by MIT Press in 2015.
Dr. Melina Ziegel
Mélina Ziegel is the CeADAR project manager since the inception of CeADAR.
Mélina has over 15 years experience in project management with particular expertise in start-ups and multi-disciplinary areas, primarily those grant-funded in Universities. She has previously worked in Ireland at UCD, TCD, and DIT after many years at Columbia University in the City of New York. Mélina holds both a Masters and a Doctorate of Education in Education Technology from Teacher’s College, part of Columbia University. She also holds a Masters of Public Policy from the Harris School at the University of Chicago, the non-profit equivalent of an MBA.
Dr. Brett Becker
Brett holds undergraduate degrees in Physics and Computer Science (Drew University), masters degrees in Computational Science (UCD) and Higher Education (DIT), and a PhD in Computer Science – High Performance Heterogeneous Computing (UCD). Brett is the Chief Maintainer of the Irish Supercomputer List (www.IrishSupercomputerList.org) and a member of the UCD Heterogeneous Computing Laboratory (hcl.ucd.ie). Brett’s research interests are in High Performance Computing, Data Analytics and Computer Science Education. Brett has 20+ publications in peer-reviewed conferences and journals.
Dr. Vivek Nallur
Vivek did a first degree in Business Management (University of Delhi, India) before crossing over to Computer Science. He did his Masters in Software Engineering from Carnegie Mellon University (US) and has a PhD from the University of Birmingham (UK). He has worked in the field of fraud detection and data mining for the Customs & Excise Deptt, Govt of India. He has also worked in quality assurance of APIs with VMware Inc. (Palo Alto, US) before turning to academia. His research interests lie in the areas of emergence detection, anomaly detection, nature-inspired optimization, predictive analytics and cognitive computing. Ever an advocate of applied research, he has worked on optimization of supply-chain management with SMEs in the US, as a part of his post-doctoral work.
Dr. Sarah Jane Delany
Sarah Jane Delany is the CeADAR principal investigator for theme one – Intelligent Analytic Interfaces.
Sarah Jane is currently Assistant Head of School in the School of Computing at Dublin Institute of Technology and is a founder member of the DIT Applied Intelligence Research Centre, a designated DIT research centre. She has over 8 years research experience in applications of machine learning, specifically in the areas of text analytics, information retrieval, concept drift and active learning.
She has 40+ peer reviewed publications in journals and conferences, a H-index of 14 and 990+ citations on Google Scholar.
Dr. John Kelleher
In 1997, Dr. John D Kelleher graduated from the School of Computing in Dublin City University (DCU) with a B.Sc. in Computer Science. After graduating, he worked in DCU as a lecturer and started a Ph.D. He was awarded his Ph.D in 2003. In October of that year he joined the Common Sense research group at Media Lab Europe as a postdoctoral researcher. In 2004 he moved to DFKI at Saarbruecken in Germany to work as a senior researcher on the COSY project. In September 2005 he moved back to Dublin to take up a post as a lecturer in the Dublin Institute of Technology’s School of Computing.
Dr. Robert Ross
Robert is a Principal Investigator of the CeADAR centre and has led several projects, including SmartContact and Speak+Seek.
Dr. Sean Russell
Dr. Seán Russell is an Assistant Professor in the School of Computer Science at University College Dublin. Dr. Russell received his primary degree in computer science from University College Dublin (UCD), Ireland. He then started his PhD in the Clarity research centre, as part of the school of Computer Science in University College Dublin. The focus of his PhD was intelligent transportation systems, machine learning and agent-oriented programming languages and was completed in 2014. Dr. Russell then began working as an Assistant Professor in the School of Computer Science in University College Dublin. His research interests include intelligent transportation systems, wireless sensor networks, agent-oriented programming languages and computer science education.
Dr. Susan McKeever
Susan McKeever is a lecturer in the School of Computing in the Dublin Institute of Technology (DIT). Susan obtained her PhD from University College Dublin, in the field of artificial intelligence. She also holds a degree in Electronic Engineering from Trinity College Dublin and an MSc in IT from DIT. Prior to completing her PhD, she worked in various consulting roles in the IT sector in Dublin and London, including Accenture and Bank of Ireland.
In 2002, she took a lecturing position with DIT. Her research interests are in the field of ubiquitous computing, technologies for assisted-living, machine learning, and mobile systems.
Dr. Catherine Mooney
Catherine obtained her PhD from University College Dublin (2009), in the field of protein structure prediction using bidirectional recurrent neural networks. Subsequently she held postdoctoral research positions in UCD School of Medicine and Medical Science, DIT School of Physics and the Department of Physiology and Medical Physics in the Royal College of Surgeons in Ireland. Her research interests lie in the areas of bioinformatics, computational biology and medical data science.
Dr. David Lillis
David Lillis is an Assistant Professor in the School of Computer Science at University College Dublin (UCD). He is affiliated to the Beijing-Dublin International College: a joint undertaking with Beijing University of Technology (BJUT) and has previously lectured in Fudan University, Shanghai.
David graduated from the University of Limerick with a B.A. in Law and Accounting. Following this, he moved to UCD where he switched to Computer Science. There he earned a H.Dip., M.Sc. and Ph.D. prior to joining the academic staff. He has published peer-reviewed research papers in a variety of subject areas, including data fusion for information retrieval, agent oriented software engineering, component-based systems, wireless sensor networks and digital forensics. A keen advocate of the practical application of research, he coordinated UCD’s entries to the NIST-sponsored Text REtrieval Conference (TREC) for a number of years. He now participates in collaboration with researchers from BJUT’s College of Computer Science.
Dr. Mark Scanlon
Dr. Mark Scanlon is an Assistant Professor in the UCD School of Computer Science. He is a Fulbright Scholar in Cybersecurity and Cybercrime Investigation and is a Visiting Researcher at the Centre for Education and Research in Information Assurance and Security in Purdue University, USA. His research interests include Network Forensics, Remote Evidence Acquisition, Data Deduplication, and Cloud Forensics and Security. To date, Dr. Scanlon has published over 35 peer-reviewed international journal and conference publications in the fields of Digital Forensics and Cybersecurity. Dr. Scanlon is an active member of the research community in these fields and is a keen keynote speaker, editor, reviewer and conference organiser across a range of key related journals and conferences.
Dr. Lina Xu
Dr. Lina Xu is an Assistant Professor in the School of Computer Science at University College Dublin (UCD). Lina Xu received her science degree from Computer Science in University College Dublin (UCD), Ireland. Then she started her PhD in Clarity Research Centre, Computer Science in UCD and received her doctoral degree in 2014. After graduation, firstly she worked as a research assistant in AUTHENTIC, which was a joint Smart Home project between UCD and Enterprise Ireland. Then she worked in HP Networking and Mobility Lab as a research scientist from the end of 2014 till 2016. Now she is a lecturer/assistant professor in Computer Science UCD. Her research interests include Internet of Things (IoT), network optimization, 5G network, smart networking, etc. Currently She is working on a smart transportation project to provide information and predictive analysis for road users and city plan department.
Dr. Gavin McArdle
Assistant Professor in the School of Computer Science, UCD
Dr. Gavin McArdle is an Assistant Professor in the UCD School of Computer Science. He is also a Research Associate with the National Centre for Geocomputation (NCG) in Maynooth University. He was previously a Science Foundation Ireland funded Research Fellow at IBM Research. His research focus includes location-based services, user profiling, geovisual analysis, smart transport, smart city technology and urban dynamics. Gavin has an extensive publication record including edited books, book chapters, articles and research papers. He has been a keynote speaker at several international conferences and institutes and has received several grants from National and European Funding agencies to support collaboration with researchers in academia and industry.
Dr. Oisin Boydell
Oisín’s research background is in data analytics, machine learning, personalization and recommender systems. He completed his PhD under Professor Barry Smyth at UCD in the area of personalized web search after which he joined the research and innovation group at ChangingWorlds Ltd, specialising in personalisation solutions for the telecommunications industry.
ChangingWorlds was subsequently acquired by Amdocs, a world leader in the telecommunications space where Oisín’s interests focused on real-time and big data predictive analytics.
Dr. Bojan Bozic
Research Fellow, DIT
Dr. Bojan Božić is a researcher in computer science at Dublin Institute of Technology and has worked on Semantic Web, Machine Learning, and Data Science technologies for 6 years. He was a software engineer in Speech Recognition at Philips Speech Recognition Systems, a Scientist at the Austrian Institute of Technology and a Lecturer at the University of Applied Sciences Burgenland and University of Vienna. At AIT’s Safety and Security department, he worked in leading roles in European research projects such as SANY (Sensor Web Enablement), TaToo (Tagging Tools for Semantic Discovery), Europeana Creative (Cultural Inheritage), PELAGIOS (Linked Data), and C2-SENSE (Sensor Web and Interoperability).
At Trinity College he worked on the ALIGNED project, modelling data and software engineering processes through ontologies and annotations for the Dacura platform. He joined CeADAR and the Dublin Institute of Technology to commence research in Data Science and approach innovation and collaboration opportunities in new projects
CJ is currently studying computer science at the University of Alaska Anchorage, and is going into his Junior (third) year. He is very interested to learn about data analytics at CeADAR, and he knows he will be learning a lot. He also has an interest in the video game industry and software engineering.
Before joining CeADAR, Hector was working as a data scientist at VHI healthcare, before that, he was at the IBM Center for Advanced Studies at the University of Trento, previously at Nuance communications in Aachen, Germany. He did his PhD at Trinity College Dublin in Text processing and is interested in entrepreneurship. Hector is currently working on the CeADAR Innovation Partnership Project SmartSeg 2.
Renaud Fontana is a software engineer in CeADAR UCD with a versatile skill set in analytics, machine learning and visualisation. He joined CeADAR after a venture in analytics consultancy. Renaud previously worked in research groups in Intel and UCD on cloud technologies, graph analytics, real time analytics and visualisation. His interests are in the use of machine learning and artificial intelligence in the video game industry.
Dave’s research background is in signal processing, bioinformatics and steganography . He completed his PhD in UCD in the area of information embedding in DNA. After completing his PhD, he worked for a media monitoring company called Kantar Media. Dave’s interests are focused on big data analytics.
As a fourth-year Computer Science student at Brown University, Sam has joined CeADAR as an intern to gain valuable hands-on experience and skills in Machine learning and Big Data analytics. He previously participated in several data analytics competitions at Kaggle and was able to reach the top 6 percent in the leaderboard. He is a deliberative learner willing to have CeADAR as the perfect medium to immerse himself in variety of data from different areas.
Quan is a postdoctoral researcher based in CeADAR, UCD. He did a PHD in protein structure classification, using neural networks and kernel methods. After his PHD, he did a postdoc in bioinformatics, working on the application of profile Hidden Markov Models in sequence alignments. His interests include machine learning – deep learning, and machine learning applications.
Dr Thibaut Lust
Thibaut Lust is a Senior Postdoctoral Researcher at CeADAR in Dublin Institute of Technology (DIT). Thibaut holds a MSc in Computer Science from the Polytechnic Faculty of Mons (Belgium) and a PhD in the field of Operational Research from the University of Mons. He was previously Assistant Professor in Computer Science at University Pierre and Marie Curie in Paris and Postdoctoral Researcher at Catholic University of Louvain (Belgium) and University of Lyon (France). His main research interests are in the field of multicriteria decision making, algorithmic decision theory and combinatorial optimization problems. He has 25+ peer reviewed publications in journals and conferences.
Dr. Ricardo Simon Carbajo
Senior Research Fellow, UCD
Dr. Ricardo Simon Carbajo is Senior Research Fellow in CeADAR and is responsible for EU Research & Innovation. Prior to joining CeADAR he was Adjunct Lecturer and Post-Doctoral Researcher in Trinity College Dublin and Dublin City University.
Ricardo holds a B.Sc. in Computer Science from the University of Leon (Spain), an M.Sc. in Networks and Distributed Systems and a Ph.D. in Computer Science from Trinity College Dublin (Ireland). His research background includes areas such as wireless networking, distributed systems, signal processing, sensor data fusion, real-time data analytics and machine learning, with application to inter-disciplinary projects on cooperative wireless networks, wind turbine health monitoring, machinery failure prediction and 3D human motion capture and analysis. Ricardo also has experience in entrepreneurship, as founder of a startup company, and is active in transforming research into innovation.
Dr Gerard Lynch
Dr. Gerard Lynch is a postdoctoral researcher based at CeADAR in University College Dublin. He received his PhD in 2013 from Trinity College Dublin where he worked on text analytics applied to textual data in the humanities in conjunction with the CNGL research cluster. He has extensive expertise in natural language processing and text analytics and within CeADAR has expanded his skill-set to encompass network analytics and visualisation, working on projects related to sentiment analysis and people search on Twitter. He previously worked at the Irish Times newspaper, training and deploying a commercial system for named entity recognition of Irish named entities and the University of Bologna at Forli, where he developed a web-based system for translation alignment in concert with the School of Translation and Cultural Studies.
Dr Tamara Matthews
Tamara Matthews is a senior Researcher in the School of Computing in the Dublin Institute of Technology (DIT). Tamara obtained her PhD in Plasma Physics (diagnostics of magnetized plasma) from Dublin City University and pursued research in plasma physics (plasma diagnostics, optimization, numerical modelling). She also holds a degree in Data Analytics from the National College of Ireland and a Physicist Engineer degree from the University of Bucharest. Prior to her PhD, she worked as a researcher in Radiation Dosimetry at NIPNE – Bucharest. Her research interests are big data visualization in economics, physics and technology, optimization algorithms and machine learning.
Dr Eoghan O'Shea
Dr. Eoghan O’Shea graduated from UCD in 1994 with a BSc in Experimental Physics. He then began a PhD in Solar Physics at Armagh Observatory/Queen’s University Belfast, which was completed in November 1997. As a researcher, he has worked at a number of different research institutes in Europe: Queen’s University Belfast (1998-2000), The European Space and Technology Centre (ESTEC) in The Netherlands (2000-2002), the Institute of Astrophysics of the Canary Islands (IAC)(2002-2004) and Armagh Observatory (2004-2009). He has published 38 refereed journal articles in international research journals (Astronomy & Astrophysics, Solar Physics journal, A&A Letters, etc). In 2009, he returned to full-time education to complete a Masters in Engineering (Electronic Systems) in DCU (November 2010). From 2010-2011, he was employed in ESB Independent Energy (later Electric Ireland) as a Pricing and Strategy Analyst. He started work in DIT, in the Applied Intelligence Research Centre, in February 2013 as a Senior Research Fellow in the CeADAR research group
Fei received his BEng in Communication Engineering from Beihang University in 2007 and MSc in Computing from Dublin Institute of Technology in 2014. He also had more than six years’ industry work experience in ICT. His research mainly focuses on data analytics and machine learning, especially unsupervised learning. Fei is currently working on the CeADAR Innovation Partnership Project SmartSeg 2.
Shen is lead researcher for CeADAR on the AURORA EU H2020 project. He is in charge of proposing a data analytics framework for the dynamic monitoring of efficiency indicators of air traffic management systems.
Shen’s PhD work focused on reducing non-recurrent urban traffic congestions using vehicle re-routing. He worked with the team of Intelligent Transportation at IBM Ireland in 2013, and Natural Resources Solutions group at IBM Research Brazil in 2015. He has strong interests in the applied research of artificial intelligence, and the performance challenges of large-scale stream data processing.
Dr. Jing Su
Jing’s PhD research focussed on automated segmentation and analysis of speech using classification methods over acoustic features. He also holds MSc’s in both applied statistics and artificial intelligence, along with commercial research experience working with the National Digital Research Centre (NDRC) in Ireland and Eli Lilly and Company in Belgium. Jing brings to CeADAR specialist skills including advanced statistics, artificial intelligence and machine learning. His recent work in CeADAR is TopicListener project, which observes key topics from multi-channel audio streams and is in trials with CeADAR partners.
Dr. Caroline Maillet
Dr. Caroline Maillet is a postdoctoral researcher based at CeADAR in Dublin Institute of Technology (DIT). Caroline obtained her PhD from ISAE (Institut Supérieur de l’Aéronautique et de l’Espace, Toulouse, France) in the field of artificial intelligence. She worked as a research engineer for Airbus Defence and Space (Toulouse, France) and as a lead data scientist for Finiti Research (Dublin, Ireland). Her research interests are in the field of operational research, constrained optimisation, machine learning and data visualisation.
Dr. Kristina Luus
Dr. Kristina Luus is a postdoctoral researcher with CeADAR at DIT. She received her MSc (2009) and PhD (2013) from the University of Waterloo in Canada, and completed two years of postdoctoral research at the Max Planck Institute for Biogeochemistry in Germany.
Kristina’s current research involves generating satellite-data-driven estimates of the rate at which methane and carbon dioxide are exchanged between the atmosphere, and northern soils/vegetation. She is eager to collaborate within CeADAR, and is especially keen on assisting with projects involving spatial data.
Dr. John McAuley
Postdoctoral Researcher, DIT
Dr. John McAuley received his PhD in Visual Analytics from Trinity College in 2014. Prior to his PhD, he worked as contract software developer and researcher, received a MPhil from DIT and founded a video social media startup called 45Sound (today Fan Footage). Since completing his PhD he has worked as the lead data scientist at Boxever, a venture backed personalisation start up, and supported the Real World Evidence team as a data scientist at Novartis. Currently, he works as a lecturer in visual analytics at Dublin Institute of Technology. He is interested in researching and developing novel visual interfaces that enable business users to explore large and evolving datasets.
Dr. Patrick Jackman
Dr. Patrick Jackman’s research career has been centred on finding alternative engineering solutions to long standing research questions leading to practicable technologies for industrial application. This has involved:
Finding novel prostate tissue features indicative of cancerous behaviour and modelling patient outcomes based on those and established tissue features.
Combining environmental and other data resources from wireless sensor networks to predict crop yields of vegetation and livestock.
Automating fresh and processed meat grading protocols and rulebooks by image processing
Finding means of rapidly cooling meat without excessive loss of moisture.
Patrick has published a total of 25 publications (16 in high impact peer reviewed journals, 2 book chapters and 7 conference papers) of which 23 were as first author and 6 were without his PhD supervisor.
Data Scientist, UCD
Aditya is a data scientist at CeADAR and is working on the AURORA European Union Horizon 2020 Project. He is working with Big Data streaming technologies that will aid in the dynamic monitoring of efficiency metrics generated by air traffic management (ATM) systems. Aditya completed his Masters’ in Computer Science with the Data Science specialization from University College Dublin. His summer internship was with CeADAR, where he worked on a Deep Learning project involving Tensorflow, Google’s cutting-edge deep learning framework. He also holds a Bachelor’s degree in Computer Science Engineering from Vellore Institute of Technology, India. He worked with Accenture for 1.5 years, predominantly as a database administrator for Cassandra, a database management system used to store and manipulate Big Data.
Dr. Luis Miralles is a postdoctoral researcher based at CeADAR in UCD. He is a Computer Engineer with a PhD in computer science from the University of Murcia (Spain). He has a Master Degree in computer security from UNIR (Spain), focused on the main techniques of protection against cyber-attacks. Before joining CeADAR, he worked as a Full-time Professor/Researcher at the Faculty of Engineering at Universidad Panamericana (Mexico). Throughout his professional career he worked on issues related to online advertising. His research mainly focuses on applying Machine Learning to online advertising.
Muhammad Atif Qureshi
Senior Postdoc, UCD
Dr. Muhammad Atif Qureshi is a senior postdoctoral researcher based in CeADAR, UCD. He has authored more than 40 research publications and his areas of interests are Text Mining, Information Retrieval, Machine Learning, Knowledge Graphs.
Before joining CeADAR, he was a postdoctoral researcher based at Insight Centre for Data Analytics, UCD (Dec. 2015 – July 2017). He holds double Ph.D. from NUIG, Ireland and UNIMIB, Italy and an MS degree from KAIST, South Korea.
Mohammed Mesabbah is a senior Researcher in the School of Computing in the Dublin Institute of Technology (DIT). Mohammed obtained his PhD in developing smart planning and decision support tools for complex systems from the DIT and pursued research in system modelling, data mining, machine learning and statistical analysis. He also holds a master degree in system dynamics from university of Bergen (UiB) and bachelor degree from Faculty of Computers and Information in Cairo University. Prior to his PhD, he worked as researcher in data mining and model developing for oil and gas industry. His Research interests include Big Data Analytics, Simulation and Modelling, Machine Learning and Optimisation Algorithms.
Data Scientist/Software Engineer, UCD
Saad’s background is in product development, data analytics, machine learning, e-commerce and recommender systems. Saad’s interests are focused on deep-learning, blockchain and augmented reality.
Claudia Mazo Vargas
Claudia Mazo is a Marie Skłodowska-Curie Postdoctoral Fellow at CeADAR – University College Dublin and Oncomark.
Claudia studied System Engineer (Computer Science) at the University of Valle and she has a double degree PhD in Engineering with Emphasis in Computer Science at the University of Valle and PhD in Production Engineering and Computing at the University of León. Claudia received three mentions for the doctoral thesis: International and Cum Laude Mentions and Meritoria mention offered by the University of Leon and Meritoria mention by the University of Valle. Her research mainly focuses on developing a clinical decision support system which stratifies breast cancer patients into risk categories of distant relapse following surgery and endocrine therapy, applying machine learning techniques and using particular characteristics of the individual patient.
Wael Rashwan is a Data Scientist at CeADAR- Centre for Applied Data Analytics and Machine Intelligence- Dublin, Ireland. He holds a PhD in Operations Research and Optimisation from Dublin Institute of Technology, Ireland and MSc in Optimisation from Cairo University. Wael has several years of industrial experience with one year in BELCO (Supply chain) and more than five years in MCE (Insurance). He led several projects in different industries agriculture, insurance and healthcare in Egypt and Ireland. Also, Wael has long experience in teaching international undergraduate and postgraduate students at Cairo University and DIT. Wael is an active researcher in developing solutions and theories to support and address decision making in uncertain and complex environments. His particular research interests include Machine Learning, Prescriptive Analytics, Simulation, Optimisation, and Healthcare Innovation and Smart Hospitals. Currently, he is leading the healthcare innovation in CeADAR, passionate about using Machine Learning & Optimisation Technologies for solving problems in healthcare and Business domains. Wael has several papers published in top-tier Journals and conferences in different fields: Innovative Healthcare, Machine Learning, Simulation and Optimisation, Decision-making. In 2016, Wael received the Best Citizen Award for Innovating smart hospitals by IBM.
Assistant Professor in the School of Business, UCD
James Sweeney is an Assistant Professor in the Discipline of MIS, within the Quinn School of Business at University College Dublin (UCD). James graduated from UCD with a BSc in Mathematical Sciences in 2007. He obtained a Ph.D. in Statistics from Trinity College Dublin in 2012, with research focused primarily on computational statistics. He completed a postdoctoral position in University College Cork, where he worked in the area of medical imaging, before joining UCD as an academic member of staff.
James’s interests are in applied statistical modelling, with a wealth of consulting experience in that area. He has worked on projects for Colossus Betting, Styker Engineering (on behalf of Think Evolve Solve), iNavatas, and Brandyfloss Marketing amongst others. In each case the focus of the work was on the development and implementation of in-house statistical models operating in real-time. He has also supervised a number of projects with companies such as Paddy Power, Western Union, Zurich Insurance, The Revenue Commissioners and e-Health Ireland, and is involved in the commercialisation of a geospatial customer segementation product with Zurich Insurance.
His primary area of expertise is in Bayesian statistical modelling, with applications in spatial statistics, model based clustering, and data mining. His project experience has included applications in gambling, fraud detection, spatial modelling and models for customer behaviour.