INSIGHT - Key Persons
I received my bachelor's degree in Mathematics from National Institute of Technology (NIT), Agartala , India and a Masters by Research in Information Technology from Indian Institute of Technology (IIT), Delhi, India. I am currently pursuing a Ph.D. degree in Computer Science at the Insight SFI Research Centre for Data Analytics, UCD.
I am working on slate based recommender system via reinforcement learning pertaining to increase in user's session engagement during an activity , i.e., listening to songs, watching videos, etc. My supervisor is Assoc. Prof. Neil Hurley from Computer Science department UCD.
I am looking at ways of making recommender system via reinforcement learning scalable and deployable in production systems from the industry point of view. In my leisure time I am involved in sports activities like badminton, cricket and football to unwind and maintain a healthy lifestyle apart from research.
Job Titles:
- Trainee Analyst Programmer
Adam Tegart is a Trainee Analyst Programmer working within the Insight Research Ireland Centre for Data Analytics in DCU on an Enterprise Ireland Commercialisation Fund. His work is primarily in the area of Natural Language Processing and involves the design, implementation and maintenance of a machine learning pipeline for training Large Language Models to be utilised in commercial enterprises to improve business workflows. Adam obtained his BSc. in Data Science from Dublin City University in 2023, completing a final year project titled "Explainable AI in Pathology - Concept Based Explainability for Mitotic Figure Detection in Whole Slide Images". His research interests are Explainable Artificial Intelligence and Natural Language Processing.
Ahsan Awais was born in Punjab, Pakistan in 1994. He received his Bachelor's degree in Electronic Engineering from the Capital University of Science and Technology (i.e., formerly known as Mohammad Ali Jinnah University, Islamabad), Pakistan, in 2017 and a Masters degree (research mode) in Electrical and Electronic Engineering from Universiti Teknologi Petronas (UTP), Malaysia in 2021.
Ahsan is currently enrolled in the Insight Research Ireland Centre for Data Analytics as a PhD research scholar in the faculty of Computing and Engineering at Dublin City University (DCU), under the supervision of Dr. Graham Healy and Prof. Tomas Ward.
His research area is related to EEG based Brain Computer Interfaces and the PhD project is part of a large-scale European collaborative grant entitled "BITSCOPE: Brain Integrated Tagging for Socially Curated Online Personalized Experiences" involving partners across Europe.
Job Titles:
- Research Assistant
- Research Assistant in the Applied Innovations Team
Alan Reidy is currently a research assistant in the Applied Innovations team at Insight, University of Galway.
He completed a Higher Diploma in software design and development from the University of Galway in 2021 and joined Insight as an intern through this course.
Job Titles:
- Postdoctoral Researcher
- Postdoctoral Researcher / Research Group
Alessandro Ragano is a PhD student at Insight Centre for Data Analytics since 2018. He obtained an MSc in Computer Science and Engineering from Politecnico di Milano (Italy) and a BSc in Computer Engineering from Università Degi Studi di Salerno (Italy). His research involves investigating and understanding the Quality of Experience (QoE) aspects of audio archives and developing data-driven approaches for QoE estimation and audio restoration based on deep learning
I am a researcher assistant at the Applied Innovation Unit of the Insight Centre for Data Analytics, University of Galway. My field of knowledge includes Machine Learning, Computer Vision, Data Visualisation and Semantic Data Modelling. My current research consists of developing ontologies related to building management systems, embedded carbon in building materials or biomedical device building. Research partners include Boston Scientific and DPD Ireland. I have also worked with a large array of environmental data for visualisation and predictions tasks.
Ali Hatami is a motivated and ambitious PhD candidate with a passion for research at the University of Galway, Ireland. With a strong academic foundation, including a Master of Science in Artificial Intelligence and an Erasmus Master in Technology for Translation and Interpreting, Ali is well-equipped to tackle complex challenges in the realms of Language Technology and Artificial Intelligence. His research interests primarily focus on cutting-edge technologies in Multimodal Machine Translation through Object Detection and Visual Scene Graphs. Ali's collaborative spirit, attention to detail, and strong work ethic make him a valuable asset to any team working on innovative projects at the intersection of Natural Language Processing and Image Processing. His academic achievements, coupled with his practical experience as a Teaching Assistant and Computing Assistant, demonstrate his ability to excel in both academic and professional settings.
Job Titles:
- Postdoctoral Researcher
- Postdoctoral Researcher / Research Group
- Research Physiotherapist
Alison is a Research Physiotherapist who's area of research focuses on the human factors associated with digital health technology. This ranges from exploring the usability of medical and commercial devices, exploring potential uses for digital health data in clinical practice, understanding the clinical meaningfulness of digital health measures, and engaging patients and the public with digital health research. Alison is the Patient and Public Involvement and Engagement lead for the Mobilise-D consortium, a European project looking to develop digital mobility outcomes for real-world walking in clinical populations. She has authored over 25 publications, and has strong experience working with industry and commercial partners, including consulting work.
Job Titles:
- Smart DCU Project Officer @DCU
Amy Barter is one of the Education and Public Engagement Managers for the Insight Research Ireland Centre for Data Analytics at Dublin City University. She is passionate about making STEM education accessible and engaging, fostering meaningful connections between researchers and the public.
With a background in astrophysics and experience in science communication, Amy has worked on a wide range of public engagement initiatives, from school outreach programs to large-scale science events such as Dublin Maker and Pint of Science Ireland. She is also a volunteer on the Pint of Science Ireland Podcast team, helping bring conversations about cutting-edge research to a wider audience.
Amy's work spans creative and interactive STEM engagement, including writing the script for the graphic novel Harmonic, which blends science with storytelling. She has also been involved in exhibit development, such as the EIRSAT-1 exhibit in the Explorium National Sport and Science Centre, showcasing Ireland's first satellite and inspiring future generations of scientists and engineers.
She previously gained communications experience at EUSPA (European Union Agency for the Space Programme), where she contributed to public outreach initiatives on space and satellite technology. Additionally, Amy is the founder of MOPSI (Meeting of Physics Societies Ireland), an initiative that brings together third level physics communities across Ireland to foster collaboration and knowledge sharing.
Amy Shelley is a Ph.D. student at Dublin City University and Insight Centre for Data Analytics. Her research is aiming for a comprehensive biopsychosocial picture of the concomitants of player development within English Rugby Union, across the professional club game. The project is focused on providing a data driven ‘map' detailing the ‘DNA' of the Premiership Player.
Andrea is a fourth year PhD student at UCC working on topics such as Constraint Programming, Knowledge Compilation and Optimization. She obtained an Erasmus Double Masters Degree in Dependable Software Systems in 2017 from Maynooth University and University of St Andrews, Scotland. She has some experience working in industry as a software developer and as a researcher also. She is enthusiastic about logic, symbolic AI and combinatorial problems and topics around sustainability and explainability as well. She's a great believer that inspiration and motivation for work thrives if balanced out, in her case with outdoor adventures, crafts and social life. For further connection and information see: https://www.linkedin.com/in/andrea-balogh-0ab48890/
I am a PhD Research student in the field of computer science, studying at the University of Galway and working at the Insight Centre for Data Analytics. I work at the Unit for Information Mining and Retrieval (UIMR) under the supervision of Dr. Conor Hayes.
My current research focuses on analyzing the role of exploration and exploitation in the area of Recommendation Systems. Specifically, I will aim to represent the Recommendation Systems as a reinforcement learning agent that is continuously obtaining information to refine its base knowledge.
I hold a Bachelor in Systems Engineering and a Master in Computer Science from the Pontificia Universidad Javeriana, Bogotá, Colombia.
I first came to work at the Insight Centre as a Master Student Intern in order to carry out my master thesis as a collaborative effort between the Pontificia Universidad Javeriana and the Insight Centre. In my master thesis, I worked on the topic of Diversity for Recommender Systems.
My career ambition is to thrive as an Applied Research Scientist working on cutting-edge projects related to the areas I am most passionate about, which include but are not limited to: Recommendation Systems, Artificial Intelligence and Machine Learning.
Job Titles:
- Post Doctoral Researcher
- Post Doctoral Researcher / Research Group
I am a Postdoctoral Research Fellow in Human-Computer Interaction at University College Dublin. My current research focuses on the design of mental health technologies to support people at different stages of their mental health journey. I recently completed my Ph.D. in Human-Computer Interaction at Trinity College Dublin. My Ph.D. focused on the design of technologies to support mental health assessment and intervention. This work examined the design options for mobile technologies for anxiety management to support user engagement and personalisation, features of successful technologies for mental health technology adoption.
Prior to that, I worked as a user experience researcher and front-end developer. I obtained an MSc in Human-Computer Interaction from Umea University of Sweden, and a BSc in Informatics and Computer Technology from the Technological Institution of Western Macedonia in Greece.
Job Titles:
- Investigator
- Professor in Statistics at the School of Mathematics
Andrew Simpkin is a Professor in Statistics at the School of Mathematics, Statistics and Applied Mathematics at the University of Galway. His research focuses on longitudinal data analysis, functional data analysis, genomics and data science. Andrew works on many interdisciplinary projects across medicine, engineering, biology, sociology and sports science. He is interested in applied statistics and data science, developing methods and tools to work with people in a wide variety of disciplines. These collaborations often lead to exciting questions which require novel theoretical statistical approaches.
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- Research Fellow / Research Group
Andy Donald is a Research Fellow and lead of the Applied Innovation Unit at Insight, University of Galway. His current research focus covers automation of the AI and machine learning process and the application of explainable AI methods within these processes and their application in real world, cloud based situations. He has a particular interest in the development of surrogate models for complex computational models and how these can be applied to help real-time predictions. He has made significant contributions to research on distributed systems and stream processing as well as researching Linked Data and Knowledge Graph construction. His interests also extend into management of large scale Multimodal Data Ecosystems. His significant private sector background also provides a unique view into how innovative research can be scaled and applied to real world issues both at an academic and industry level.
Research interests:
Explainability and Ethics within the AI and ML process.
Applications of ML/AI using large multimodal datasets and automated machine learning processes.
High volume stream analytics and visualisation.
Knowledge extraction (knowledge graphs) and sentiment analysis.
Surrogate modelling for complex computational models.
Job Titles:
- Education and Public Engagement Manager
I am a PhD student at Insight Centre for Data Analytics (Data Science Institute), University of Galway, Ireland. I completed my undergraduate and master's degree in Computer Engineering from Aligarh Muslim University, India, specializing in machine learning and AI. My main research interests include using deep learning for computer vision. I have briefly worked on blockchains and dataspaces. Currently, I am working on multimodal analysis of video streams, knowledge graphs and subjective querying.
Research Interests
Multimodal Subjective Knowledge Graphs
Deep Learning, Computer Vision, Knowledge Graphs, and Knowledge extraction
Aerial Surveillance System using UAV drones
Recognizing Human Activities in real-time using skeletal tracking devices
Optical Braille Recognition which focuses on converting scanned Braille Documents to text
Received two gold medals at Aligarh Muslim University during my masters; was awarded the Gate and NET fellowship by Government of India; won Sir Syed Global Scholar Award.
I am currently a Postdoctoral Researcher on the European Union's Horizon 2020 programme under grant agreements 731015 European Lexical Infrastructure (ELEXIS) project, led by Dr. John P. McCrae, in the Unit for Linguistic Data, University of Galway. Since October 5th 2020, I have been also working as an adjunct lecturer at the College of Science and Engineering, University of Galway, Ireland. Before joining University of Galway, I have worked as a Vedecký Pracovník (Postdoc Researcher ) at UFAL, Charles University, Prague from July 2019 to June 2020. In 2017, I co-founded a startup named Panlingua Language Services LLP situated in New Delhi, India.
I received my PhD in March 2019 from Jawaharlal Nehru University, India under the supervision of Prof. Girish Nath Jha. My PhD title was English-Bhojpuri SMT System: Insights from the K¿raka Model. I am actively working on the creation of linguistic resources for low-resource languages. During the PhD, I worked on various projects as Sr. NLP Research Engineer, Sr. Linguist cum Project Manager, and Linguist in Machine Translation Evaluation Platform and Indian Languages Corpora Initiative (ILCI) at Jawaharlal Nehru University, New Delhi. I organised several workshops/conferences/shared tasks as co-chair/organiser or manager including:
• 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT 2021) under MT Summit 2021
• 3rd LoResMT 2020 workshop and 2nd LoResMT shared task 2020 under AACL-IJCNLP 2020
• Second Workshop on Trolling, Aggression and Cyberbullying (TRAC-2020) under the LREC 2020
• 5th Workshop on Indian Language Data Resource and Evaluation (WILDRE-5) under the LREC 2020
• Shared Task on Low-level NLP Tools for Bhojpuri and Magahi under the NSURL 2019
• 2nd Workshop on Technologies for MT of Low Resource Languages (LoResMT 2019) under the MT Summit XVII 2019
• First International Sanskrit and Other Indian Languages Conference 2019 at JNU, New Delhi, India
I completed my undergraduate course in China and obtained a Bachelor of Science in Mathematics. I then completed a postgraduate honours degree in Financial Mathematics at UCD in 2024. Now I continue to study at UCD and start my PhD journey. My main topic at this stage is to use machine learning methods to explore the prepayment of mortgage securities and analyze the influencing factors.
Job Titles:
- Education and Public Engagement Manager
Brendan is Education and Public Engagement Manager of the Insight SFI Research Centre for Data Analytics at the University of Galway
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- Postdoctoral Research Fellow Level 2
I finished my PhD in Electrical and Electronics Engineering last 31 July 2022 at the University of the Philippines. Afterwards, I became an Assistant Professor in the same university for two years. Last year, I got connected with Dr. Hines via online after submitting an expression of interest for the MSCA Postdoctoral fellowship 2023 call. We started writing on a research topic about enhancing the listening experience of cochlear implant users immersed in live music scenarios. Fortunately, I got accepted for funding and now I am starting my research effective 30 September 2024 in the University College Dublin. I will be working closely with the QxLab research laboratory headed by Dr. Hines, and I am excited to conduct excellent research within the university.
I recently got married on December 2022 and I am glad to bring my wife alongside me to Dublin thanks to the hosting agreement scheme for scientific researchers. We are excited to explore Ireland together and to build a family here in the long run. I love to play the electric guitar and I enjoy playing in a band. I am also interested in running and working out in the gym.
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- Business Development Manager - University of Galway
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- Research Reports Coordinator
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- Business Development Manager - DCU
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- Strategic Research Programme Manager
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- Postdoctoral Research Fellow
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- Business Development Manager - UCD, TCD and Maynooth University
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- Research Integration Coordinator
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- Senior Administrative Officer
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- Postdoctoral Research Fellow
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- Senior Post - Doctoral Researcher
Ahmed Missaoui is a Postdoctoral Researcher in optimization and operational research at UCC.
He received a Bachelor's Degree in Computer Science from the University Tunis El Manar, Tunisia in 2011 (Magna Cum Laude) and a Master's Degree in Optimization Engineering from the University of Sfax in 2016 (summa cum laude). Ahmed attained his Ph.D. in Management from the University of Sfax in 2022 with his thesis on logistics and production, supervised by Prof. Younes Boujelbene and Prof. Ruben Ruiz Garcia.
Ahmed then started his career as an Assistant Professor for six months at the Computer Science Department, University of Sfax, Tunisia.
His research interests focus on developing heuristics metaheuristics and mathematical models for the resolution of optimization problems.
Job Titles:
- Researcher
- Postdoctoral Researcher
- Postdoctoral Researcher / Research Group
Asma Slaimi is a Postdoctoral Researcher and previously a PhD student in the School of Electronic Engineering at Dublin City University (DCU), Ireland.
Asma is working with Noel O'Connor, Dr Fiona, Dr Michael, and Dr Susan Hegarty on a collaborative project with Arup to investigate the application of artificial intelligence and machine learning in the water domain.
To accomplish her master's project, Asma has worked with Dr Brian Davis in The Insight Centre for Data Analytics, Galway, Ireland. The work involved developing a Supervised Machine Learning model for Ontology-based Named Entity Recognition in an E-Recruitment Platform as part of the Data Live project.
Dr Brendan O'Flynn received his BEng from UCC and carried out his postgraduate research at the National Microelectronics Research Centre (now the Tyndall National Institute) in Cork. Dr Flynn's research focuses on the development of next generation embedded smart systems in industry-funded, nationally-funded and European Union projects. He is Head of the Wireless Sensor Network Group in Tyndall.
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- Member of the Senior Leadership Team
- Principal Investigator
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- Member of the Senior Leadership Team
- Principal Investigator
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- Member of the Senior Leadership Team
- Principal Investigator
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- Assistant Professor
- Funded Investigator
- Investigator
Dr Ali Intizar is an Assistant Professor in the School of Electronic & Computer Engineering, Dublin City University. His research interests include Data Analytics, the Internet of Things (IoT), Stream Query Processing, Data Integration, Distributed and Federated Machine Learning, and Knowledge Graphs. His research outcomes have been successfully applied in various domains including intelligent IoT applications for Smart Cities, Smart Manufacturing, Smart Farming, Environmental Monitoring, and e-Health. Ali has led several research projects as principal investigator and funded investigator funded by European Commission, Science Foundation Ireland, Enterprise Ireland and Industry.
Ali has authored over 100 research articles, including journal publications, conferences & workshops proceedings, and posters/demos in renowned journals and international conferences. Prior to joining DCU, he worked as an Adjunct Lecturer, Research Fellow, and Research Unit Leader at the Data Science Institute, National University of Ireland, Galway. Ali obtained his PhD (with distinction) from Vienna University of Technology, Austria in 2011.
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- Director of Research, Innovation
- Investigator
- Research Group
Dr Hines is currently the Director of Research, Innovation and Impact for the School of Computer Science at UCD. His primary research interests are in applying machine learning for applications in speech, audio and video signal processing. He is a committee member of the Audio Engineering Society (Ireland) and is a senior member of the IEEE. He has represented Ireland on the management committee of Qualinet, an FP7 European COST Action, where he led a task force focused on using machine learning to develop Quality of Experience (QoE) models. He was also a member of the management committee of the H2020 CryptoAction COST research network.Outside of academia, Dr Hines spent a decade working in industry as director of engineering for software development companies in the airline and finance industries.
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- Postdoctoral Researcher ( NeuroInsight )
Dr. Ankit Vijayvargiya earned a Bachelor of Technology (B.Tech.) degree with honors in Electrical Engineering from Swami Keshvanand Institute of Technology, Management & Gramothan in Jaipur, India, in 2010. He later pursued a Master's degree in Instrumentation from Devi Ahilya University in Indore, India, which he completed in 2014. Dr. Vijayvargiya furthered his academic journey by obtaining a Ph.D. in Biomedical Signal Processing from Malaviya National Institute of Technology in Jaipur, India. During his doctoral studies, he received training in biomedical signal processing techniques and machine learning under the guidance of Prof. Rajesh Kumar.
As a part of his Neuroinsight Fellowship, he is conducting research on the application of machine learning analysis to enhance clinician decision-making for optimizing gait during robotic exoskeleton therapy using surface electromyography (sEMG). His research interests include biomedical signal processing, pattern recognition, and machine learning.
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- Assistant Professor at the School of Computer Science
- Investigator
- Research Group
Dr. Aonghus Lawlor is Assistant Professor at the School of Computer Science, University College Dublin, and a Funded Investigator at the Insight Centre for Data Analytics and the VistaMilk SFI Research Centre. After completing his Ph.D in University College Dublin he worked at the National Centre for Geocomputation and then joined the recommender systems group at the Insight Centre. His current work is focused on recommender systems, applying machine learning and deep learning to recommendation tasks and finding ways to interpret and explain recommendations.
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- Funded Investigator
- Investigator
- Investigator at Insight SFI Research Centre for Data Analytics
- Research Group
Dr. Bharathi Raja Chakravarthi is a funded investigator at Insight SFI Research Centre for Data Analytics and permanent Lecturer Above the Bar in the School of Computer Science at the University of Galway, Ireland. He works on multimodal machine learning, abusive/offensive language detection, bias in natural language processing tasks, inclusive language detection, and multilingualism. He has published papers in highly reputed journal papers (LRE, CSL, MTAP, SNAM, JDSA, JDIM, IJIM Data Insights etc.) and multiple international conference papers (COLING, LREC, MTSUMMIT, DSAA, LDK, GWC, AICS, FIRE, etc). He has received the Best Application Paper Award at DSAA 2020 IEEE and ACM-funded conference. Dr. Chakravarthi is an associate editor for Expert System with Application (Elsevier), an editorial board member for Computer Speech & Language (Elsevier). He is also area chair of the 17th Conference of the European Chapter of the Association for Computational Linguistics 2023, LREC-COLING 2024 - The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation and General Chair of SPELLL 2022, 2023, and 2024. He has graduated 33 MSc students and is currently supervising 6 MSc students and 3 PhD students.
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- COO
- Member of the Senior Leadership Team
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- Director
- Member of the Senior Leadership Team
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- Business Development Manager - UCC, Tyndall and UL
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- Member of the Senior Leadership Team
- Principal Investigator
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- Funding Development Officer
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- Funded Investigator @DCU
- Investigator
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- Member of the Senior Leadership Team
- Principal Investigator
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- Researcher
- Post - Doctoral Researcher
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- Smart DCU Occupancy Researcher ( Intern )
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- Project Manager - STEM Passport Mentoring for Equality
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- Project Finance Coordinator
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- Strategic Research Coordinator
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- Senior Research Co - Ordinator
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- Programme Manager ( STEM Passport for Inclusion )
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- Grants Project Manager - University of Galway
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- Google Scholarships Programme Coordinator
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- Project Finance Coordinator
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- Research Communications Officer
Ms. Andrea Clarke joined Insight in April 2018 and is the Research Communications Officer for Insight@DCU, one of 4 sites comprising the Insight SFI Research Centre for Data Analytics. Insight is one of Europe's largest data analytics research organisations, with over 400 researchers, more than 40 industry partners and over 88 million of funding.
As Research Communications Officer Ms Clarke's primary responsibility is to provide professional and comprehensive coordination across all research programmes at the Insight Centre from all funding sources.
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- EU Projects Support Officer
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- Post Doctoral Fellow Level 1
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- Research Assistant
- Postdoctoral Researcher
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- Researcher
- Senior Engineer
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- Senior Post - Doctoral Researcher
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- Head of Business Development
- Member of the Senior Leadership Team
- Head of Business Development / Principal Investigators
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- Member of the Senior Leadership Team
- Principal Investigator
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- Member of the Senior Leadership Team
- Principal Investigator
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- Investigator
- Research Group
Andrew Parnell is Hamilton Professor in the Hamilton Institute at Maynooth University. His research is in statistics and machine learning for large structured data sets in a variety of application areas. He has co-authored over 50 peer-reviewed papers in applied journals such as Science, Nature Communications, and Plos ONE, and has methodological publications in journals such as Statistics and Computing, The Annals of Applied Statistics, and Journal of the Royal Statistical Society: Series C. He has been awarded over 1 million to date in direct funding. He has been heavily involved in the commercialisation of research through the start-up companies Prolego Scientific (CSO) and Atturos (Scientific Advisor). He is currently a funded investigator in three different SFI centres: The Insight Centre for Data Analytics, The I-Form Advanced Manufacturing Centre, and The VistaMilk Centre for Precision Pasture-based Dairy. His current list of application areas includes: - Climatology, including sea level rise, extremes, and measuring rapid past climate changes - Manufacturing, including anomaly detection, real-time tool wear analytics, and additive manufacturing - Bioinformatics, including prostate cancer identification from peptide measurements, machine learning for SNPS, extending G-BLUP and SNP-BLUP models to larger data sets. - Learning analytics for monitoring student progress and engagement - Quantitative ecology especially mixing models for estimating animal diets and sediment tracing - Radiocarbon dating and chronology modelling for archaeological and palynological applications He enjoys collaborating with other scientists and writing non-specialist software via the open-source statistical language R.
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- Director
- Member of the Senior Leadership Team
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- Member of the Senior Leadership Team
- Principal Investigator
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- Member of the Senior Leadership Team
- Principal Investigator
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- Director
- Member of the Senior Leadership Team
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- Member of the Senior Leadership Team
- Principal Investigator
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- Member of the Senior Leadership Team
- Principal Investigator
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- Member of the Senior Leadership Team
- Principal Investigator
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- Member of the Senior Leadership Team
- Principal Investigator
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- Member of the Senior Leadership Team
- Principal Investigator
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- Member of the Senior Leadership Team
- Principal Investigator
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- Member of the Senior Leadership Team
- Principal Investigator
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- Member of the Senior Leadership Team
- Principal Investigator
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- CEO
- Member of the Senior Leadership Team
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- Member of the Senior Leadership Team
- Vice Director
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- Member of the Senior Leadership Team
- Principal Investigator
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- Member of the Senior Leadership Team
- Principal Investigator
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- Member of the Senior Leadership Team
- Principal Investigator
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- Director
- Member of the Senior Leadership Team
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- Senior Post - Doctoral Researcher
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- Research Integration Coordinator
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- Researcher
- Postdoctoral Researcher
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- Postdoctoral Research Fellow