Group Shot 009

Meet the team

Meet the people innovating through data


Prof. Paul Watson


Paul is now Director of the National Innovation Centre for Data after serving as our Research Director. His research interests centre on the design of integrated data analytics solutions and exploiting functional programming for stream processing. As well as being our Director, Paul is also Professor of Computer Science at Newcastle University and a Fellow of The Alan Turing Institute. 


Prof. Barry Hodgson

Director of Strategy
Barry leads on strategy and operations for the National Innovation Centre for Data. He has deep experience of entrepreneurship and innovation in the software industry and portfolio management of large-scale research projects in academia.
Richie Ramsden

Richie Ramsden

Technical Director

Richie joined us recently in the new role of Technical Director. He is interested in innovation and leadership and loves nothing more than asking how? and why? over and over again in order to identify real business need. When he isn't busy figuring out how data science can deliver value to clients, Richie enjoys music, sewing, homebrewing and fly fishing.

Georgia Carr

Georgia Carr


Georgia manages all of our structures and processes, allowing successful delivery of the business plan. She also oversees contract and client relationship management, governance, HR and reporting. Georgia holds a degree in Biomedical Sciences and has a background in operations and recruitment. She's also a former ballroom dancing champion!

Image of Christina Hajineocli

Christina Hajineocli

Marketing and Communications Lead
Christina manages and leads on all of the marketing and communication activities and strategies to help build NICD's reputation, nationally. She has a background working with start-up businesses as well as large corporations in sales and marketing. She holds a Master's degree in Sports and Exercise Medicine and has a black belt in Shotokan Karate!
Stuart Campbell

Stuart Campbell

Venue Technician

Stuart is our dedicated Venue Technician at The Catalyst. He provides specialist AV and IT support to organisations throughout the building, covering everything from day-to-day meetings to large events and conferences. When he isn't busy dashing from event to event at The Catalyst, Stuart enjoys surfing and climbing, and is also an experienced sound engineer.

Paul Goodman

Dr Paul Goodman

Innovation Lead

Paul joined us from Newcastle University's School of Engineering, where he was a lecturer in Intelligent Transport Systems. Here, his work consists predominantly of general data analysis, geospatial data analysis, and data visualisation. When he's not at work, Paul spends his time looking after a small clowder of feral cats that adopted him several years ago.

Geospatial Data Analysis & Visualisation


Dr Jacek Cala

Senior Data Scientist

Jacek (yat-sek)'s background is in scalable computing, with broad experience in workflows, application deployment, recomputation and programming. His PhD focused on adaptive deployment of component-based applications in distributed systems. He combines his role at the National Innovation Centre for Data with academic research at Newcastle University.

Scalable Computing & Optimisation


Stephen Dowsland, MSc

Senior Data Scientist

Stephen’s background is scalable computing, specialising in data analytics, software deployment, containerisation, design and development for the cloud and programming. He has worked across a variety of sectors from international airlines to local authority town planning.

Data Engineering & Cloud Computing


Dr Matthew Edwards

Senior Data Scientist

Matt’s background is in statistics, specialising in spatiotemporal statistics, Bayesian learning, natural language processing, causal inference, R programming and machine learning. His PhD centred on multivariate space-time modelling of climate data in collaboration with the National Center for Atmospheric Research in Boulder, Colorado.

Statistics & Machine Learning

Peter Michalak NEW

Dr Peter Michalák

Senior Data Scientist

Peter’s background is in computer and software engineering, having previously worked as an R&D software developer for a multinational IT company. His PhD focused on design, implementation, and automated computational placement of distributed streaming applications for real-time data analysis.

IoT & real-time streaming systems


Louise Braithwaite, MSc

Data Scientist

With a background in operations management Louise changed careers in 2020 when she gained her Data Science MSc from Newcastle University. She now works on variety of data science projects including, natural language processing, generative ai, data analytics and data science project scopingLouise is passionate about running and continues to recruit members to the Catalyst Run Club. 

Data Analysis & LLM Systems

Jordan Connolly

Dr Jordan Connolly

Data Scientist

Jordan joined us from Newcastle University's School of Computing and has a background in artificial intelligence strategies. His PhD resulted in a curated dataset for DNA technology, used in conjunction with machine learning and optimisation to inform better protocols and generate designs. When he isn't working, Jordan enjoys electric guitar, video games, and going to the gym.

Machine Learning


Dr Antonia Kontaratou

Data Scientist

Antonia’s technical background combines statistics and computer science. Her PhD focused on scaling Bayesian modelling techniques. She is interested in machine learning and she is currently programming in R and Scala.

Computational statistics


Akash Kumar, MSc

Data Scientist

Akash has a background in electronics and communication engineering and gained his MSc in Data Science in 2022. He has experience in industry as well as academia and has particular expertise in data problems involving computer vision and machine learning. When he isn't busy solving such problems, Akash enjoys photography and travel.

Computer Vision & Machine Learning

Fergus McClean

Dr Fergus McClean

Data Scientist

Fergus joined us from Newcastle University's School of Engineering and has a background in environmental modelling. His PhD investigated the impact of using global datasets for flood inundation modelling and involved designing a cloud-based framework for running simulations. When he isn't busy coding, Fergus enjoys kayaking, hill-walking, surfing and climbing.

Data Engineering & Visualisation

Image of Mac

Dr Maciej Misiura

Data Scientist

Mac’s background is statistics; he possesses considerable experience in Bayesian inference, time series forecasting, meta-analysis and modelling biological systems, which he acquired during his PhD research in the field of smart farming. His current business interests are centred around developing AI tools. In his spare time, he enjoys cooking and playing chess. 


Statistics & Machine Learning

Georgia Atkinson

Dr Georgia Atkinson

Data Scientist
I started my PhD looking at the application of deep learning to dolphin images, however this progressed to dolphin acoustics. Ever since my undergraduate, I have been interested in applying mathematics to acoustic data and I have always been interested in nature and animals since I was young. My PhD was a perfect time to explore both of these interests! It opened my eyes (and ears) to the world of bioacoustics and deep learning and also the larger field of how machine learning is applied within conservation.

Deep learning, computer vision & bioacoustics

Do you want to work with us as a data scientist?

We're always on the lookout for passionate PhD or Masters-level data scientists with the expertise to help people develop the data science skills they need to drive organisations forward. By working with us you would be helping to prepare the UK economy for a future in which managing and analysing data and gleaning essential insights makes the difference between success and failure. If you're interested in joining our mission and would like to know more, why not get in touch?


Our Discovery Workshop

Our Discovery Workshops enable you to explore the potential of your data and understand the benefit you could gain before committing to a full-scale project.