“Bryn is a superb scientist and informatics professional. He is skilled, knowledgeable and able to understand and rapidly assess the potential of new informatics opportunities. He has excelled in managing complex, multi-center collaborations and has pushed the boundaries of industrial life science forward considerably. Bryn's ability to connect key people to make projects happen is hugely valuable and sets him apart as a valuable member of the scientific community”
Bryn Williams-Jones
Canterbury, England, United Kingdom
4K followers
500+ connections
About
Experienced and successful drug discovery executive with over 30 years of experience in…
Activity
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Last week, our R&ED team unveiled a new organisational structure, introducing the units to bring us into the future – one of these units is a…
Last week, our R&ED team unveiled a new organisational structure, introducing the units to bring us into the future – one of these units is a…
Liked by Bryn Williams-Jones
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It was really good to connect with some old friends at the #pistoiaalliance conference! Cc: Bryn Williams-Jones Ben Sidders Mathew Woodwark
It was really good to connect with some old friends at the #pistoiaalliance conference! Cc: Bryn Williams-Jones Ben Sidders Mathew Woodwark
Liked by Bryn Williams-Jones
Experience
Education
Publications
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FAIRplus sustainability white paper - "FAIR is for life not just for Christmas"
10.5281/zenodo.6373693
FAIRplus seeks to establish ‘FAIRification’ processes that can be used at scale to ensure FAIRness of IMI data.
The FAIRplus Sustainability White Paper discusses the approach that FAIRplus took to the sustainability of the core assets from the project and provides examples of the future sustainability plans for a number of the key deliverables including the FAIR Cookbook, Data set maturity (DSM) and Ethics best practices.
The white paper also highlights challenges with…FAIRplus seeks to establish ‘FAIRification’ processes that can be used at scale to ensure FAIRness of IMI data.
The FAIRplus Sustainability White Paper discusses the approach that FAIRplus took to the sustainability of the core assets from the project and provides examples of the future sustainability plans for a number of the key deliverables including the FAIR Cookbook, Data set maturity (DSM) and Ethics best practices.
The white paper also highlights challenges with sustainability in the current approach to projects in IHI/IMI and makes some recommendations.Other authorsSee publication -
Getting Digital Assets from Public–Private Partnership Research Projects through “The Valley of Death,” and Making Them Sustainable
Frontiers in Medicine
Projects in public–private partnerships, such as the Innovative Medicines Initiative (IMI), produce data services and platforms (digital assets) to help support the use of medical research data and IT tools. Maintaining these assets beyond the funding period of a project can be a challenge. The reason for that is the need to develop a business model that integrates the perspectives of all different stakeholders involved in the project, and these digital assets might not necessarily be…
Projects in public–private partnerships, such as the Innovative Medicines Initiative (IMI), produce data services and platforms (digital assets) to help support the use of medical research data and IT tools. Maintaining these assets beyond the funding period of a project can be a challenge. The reason for that is the need to develop a business model that integrates the perspectives of all different stakeholders involved in the project, and these digital assets might not necessarily be addressing a problem for which there is an addressable market of paying customers. In this manuscript, we review four IMI projects and the digital assets they produced as a means of illustrating the challenges in making digital assets sustainable and the lessons learned. To progress digital assets beyond proof-of-concept into widely adopted tools, there is a need for continuation of multi-stakeholder support tailored to these assets. This would be best done by implementing a structure similar to the accelerators that are in place to help transform startup businesses into growing and thriving businesses. The aim of this article is to highlight the risk of digital asset loss and to provoke discussion on the concept of developing an “accelerator” for digital assets from public–private partnership research projects to increase the chance that digital assets will be sustained and continue to add value long after a project has ended.
Other authorsSee publication -
Big Data in Drug Discovery
Progress in Medicinal Chemistry
Interpretation of Big Data in the drug discovery community should enhance project timelines and reduce clinical attrition through improved early decision making. The issues we encounter start with the sheer volume of data and how we first ingest it before building an infrastructure to house it to make use of the data in an efficient and productive way. There are many problems associated with the data itself including general reproducibility, but often, it is the context surrounding an…
Interpretation of Big Data in the drug discovery community should enhance project timelines and reduce clinical attrition through improved early decision making. The issues we encounter start with the sheer volume of data and how we first ingest it before building an infrastructure to house it to make use of the data in an efficient and productive way. There are many problems associated with the data itself including general reproducibility, but often, it is the context surrounding an experiment that is critical to success. Help, in the form of artificial intelligence (AI), is required to understand and translate the context. On the back of natural language processing pipelines, AI is also used to prospectively generate new hypotheses by linking data together. We explain Big Data from the context of biology, chemistry and clinical trials, showcasing some of the impressive public domain sources and initiatives now available for interrogation.
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Bioinformatics and Computational Biology in Drug Discovery and Development - Chapter
Cambridge University Press
Computational biology drives discovery through its use of high-throughput informatics approaches. This book provides a road map of the current drug development process and how computational biology approaches play a critical role across the entire drug discovery pipeline. Through the use of previously unpublished, real-life case studies the impact of a range of computational approaches are discussed at various phases of the pipeline. Additionally, a focus section provides innovative…
Computational biology drives discovery through its use of high-throughput informatics approaches. This book provides a road map of the current drug development process and how computational biology approaches play a critical role across the entire drug discovery pipeline. Through the use of previously unpublished, real-life case studies the impact of a range of computational approaches are discussed at various phases of the pipeline. Additionally, a focus section provides innovative visualisation approaches, from both the drug discovery process as well as from other fields that utilise large datasets, recognising the increasing use of such technology. Serving the needs of early career and more experienced scientists, this up-to-date reference provides an essential introduction to the process and background of drug discovery, highlighting how computational researchers can contribute to that pipeline.
Read more at http://www.cambridge.org/gb/academic/subjects/life-sciences/genomics-bioinformatics-and-systems-biology/bioinformatics-and-computational-biology-drug-discovery-and-development#U4bRQkUVgW6goYzW.99Other authorsSee publication -
Precompetitive activity to address the biological data needs of drug discovery
Nature Reviews Drug Discovery 13, 83–84 (2014) doi:10.1038/nrd4230
Precompetitive activity to address the biological data needs of drug discovery
Other authorsSee publication -
Scientific competency questions as the basis for semantically enriched open pharmacological space development.
Drug Discovery Today
Azzaoui K, Jacoby E, Senger S, Rodríguez EC, Loza M, Zdrazil B, Pinto M, Williams AJ, de la Torre V, Mestres J, Pastor M, Taboureau O, Rarey M, Chichester C, Pettifer S, Blomberg N, Harland L, Williams-Jones B, Ecker GF.
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Towards interoperable bioscience data
Nature Genetics
Susanna-Assunta Sansone*, Philippe Rocca-Serra*, Dawn Field, Eamonn Maguire, Chris Taylor, Winston Hide, Oliver Hofmann, Hong Fang, Steffen Neumann, Weida Tong, Linda Amaral-Zettler, Kimberly Begley, Tim Booth, Lydie Bougueleret, Gully Burns, Brad Chapman, Tim Clark, Lee-Ann Coleman, Sudeshna Das, Antoine de Daruvar, Paula de Matos, Ian Dix, Scott Edmunds, Chris T. Evelo, Mark Forster, Pascale Gaudet, Jack Gilbert, Carole Goble, Julian L. Griffin, Daniel Jacob, Jos Kleinjans, Lee Harland…
Susanna-Assunta Sansone*, Philippe Rocca-Serra*, Dawn Field, Eamonn Maguire, Chris Taylor, Winston Hide, Oliver Hofmann, Hong Fang, Steffen Neumann, Weida Tong, Linda Amaral-Zettler, Kimberly Begley, Tim Booth, Lydie Bougueleret, Gully Burns, Brad Chapman, Tim Clark, Lee-Ann Coleman, Sudeshna Das, Antoine de Daruvar, Paula de Matos, Ian Dix, Scott Edmunds, Chris T. Evelo, Mark Forster, Pascale Gaudet, Jack Gilbert, Carole Goble, Julian L. Griffin, Daniel Jacob, Jos Kleinjans, Lee Harland, Kenneth Haug, Henning Hermjakob, Shannan Ho Sui, Alain Laederach, Shaoguang Liang, Emily M. Merrill, Magali Roux, Jahn-Takeshi Saito, Richard H. Scheuerman, Christoph Steinbeck, Anne Trefethen, Bryn Williams-Jones, Katherine Wolstencroft, Ioannis Xenarios
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Lowering industry firewalls: pre-competitive informatics initiatives in drug discovery
Nature Reviews Drug Discovery, 8 (9), 701-708 DOI: 10.1038/nrd2944
Barnes, M., Harland, L., Foord, S., Hall, M., Dix, I., Thomas, S., Williams-Jones, B., & Brouwer, C. (2009). Lowering industry firewalls: pre-competitive informatics initiatives in drug discovery Nature Reviews Drug Discovery, 8 (9), 701-708 DOI: 10.1038/nrd2944
Other authorsSee publication -
High-throughput electronic biology: mining information for drug discovery
Nature Reviews Drug Discovery 6(3) 220-230
Loging, W.; Harland, L; Williams-Jones, B (2007).High-throughput electronic biology: mining information for drug discovery. Nature Reviews Drug Discovery 6(3) 220-230 DOI:10.1038/nrd2265
Other authorsSee publication
Projects
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FAIRplus
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The FAIRplus project aims to develop tools and guidelines for making life science data FAIR (Findable, Accessible, Interoperable, Reusable). The project has 21 partners from academia and industry, and runs from January 2019 to December 2022 https://fairplus-project.eu
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Big Data Europe
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The growing digitization and networking process within our society has a large influence on all aspects of everyday life. Large amounts of data are being produced permanently, and when these are analyzed and interlinked they have the potential to create new knowledge and intelligent solutions for economy and society. Big Data can make important contributions to the technical progress in our societal key sectors and help shape business. What is needed are innovative technologies, strategies and…
The growing digitization and networking process within our society has a large influence on all aspects of everyday life. Large amounts of data are being produced permanently, and when these are analyzed and interlinked they have the potential to create new knowledge and intelligent solutions for economy and society. Big Data can make important contributions to the technical progress in our societal key sectors and help shape business. What is needed are innovative technologies, strategies and competencies for the beneficial use of Big Data to address societal needs.
BigDataEurope will undertake the foundational work for enabling European companies to build innovative multilingual products and services based on semantically interoperable, large-scale, multi-lingual data assets and knowledge, available under a variety of licenses and business models.
BigDataEurope aims to:
- collect requirements for the ICT infrastructure needed by data-intensive science practitioners tackling a wide range of societal challenges; covering all aspects of publishing and consuming semantically interoperable, large-scale, multi-lingual data assets and knowledge.
- Design and implement an architecture for an infrastructure that meets requirements, minimizes the disruption to current workflows, and maximizes the opportunities to take advantage of the latest European RTD developments, including multilingual data harvesting, data analytics, and data visualization.Other creatorsSee project -
Open PHACTS
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Open PHACTS is building an Open Pharmacological Space in a 5-year knowledge management project of the Innovative Medicines Initiative (IMI), a unique partnership between the European Community and the European Federation of Pharmaceutical Industries and Associations (EFPIA).
Other creatorsSee project -
Open PHACTS
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Open PHACTS is building an Open Pharmacological Space in a 3-year knowledge management project of the Innovative Medicines Initiative (IMI), a unique partnership between the European Community and the European Federation of Pharmaceutical Industries and Associations (EFPIA).
Other creatorsSee project
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With my Copyright Clearance Center (CCC) colleague Neal Dunkinson presenting on AI and compliance at Pistoia Alliance London meeting. Lucia Freyre…
With my Copyright Clearance Center (CCC) colleague Neal Dunkinson presenting on AI and compliance at Pistoia Alliance London meeting. Lucia Freyre…
Liked by Bryn Williams-Jones
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Another year another fantastic conference Pistoia Alliance
Another year another fantastic conference Pistoia Alliance
Liked by Bryn Williams-Jones
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As always, the Pistoia Alliance conference in London was excellent! Here are my key takeaways from this year’s event: 1 - One fundamental principle…
As always, the Pistoia Alliance conference in London was excellent! Here are my key takeaways from this year’s event: 1 - One fundamental principle…
Liked by Bryn Williams-Jones
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Very pleased to share that we've been nominated for the Global Startup of the Year in Wales!
Very pleased to share that we've been nominated for the Global Startup of the Year in Wales!
Liked by Bryn Williams-Jones
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I’m on my way to the Pistoia Alliance conference in London today, looking forward catching up with the pharma data science community and discussing…
I’m on my way to the Pistoia Alliance conference in London today, looking forward catching up with the pharma data science community and discussing…
Liked by Bryn Williams-Jones
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Bioinformatics jobs be like: 📢 "We are redefining drug development with cutting-edge AI" 🔍 Translation: We have a half-trained model that barely…
Bioinformatics jobs be like: 📢 "We are redefining drug development with cutting-edge AI" 🔍 Translation: We have a half-trained model that barely…
Liked by Bryn Williams-Jones
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Excited to expand my professional journey by taking on the role of R&D Strategy Advisor at ZS Associates! Grateful for the opportunity to support…
Excited to expand my professional journey by taking on the role of R&D Strategy Advisor at ZS Associates! Grateful for the opportunity to support…
Liked by Bryn Williams-Jones
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Next week, I’m heading to London for the second time this year. As a Brit, I’m not complaining… Cadbury’s Creme Eggs, I’m coming for ya 👀 This will…
Next week, I’m heading to London for the second time this year. As a Brit, I’m not complaining… Cadbury’s Creme Eggs, I’m coming for ya 👀 This will…
Liked by Bryn Williams-Jones
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Looking forward to #BioIT2025 and our FAIR workshop on 2 Apr. 👏 Thanks to all our fellow speakers and facilitators: Susanna-Assunta Sansone…
Looking forward to #BioIT2025 and our FAIR workshop on 2 Apr. 👏 Thanks to all our fellow speakers and facilitators: Susanna-Assunta Sansone…
Liked by Bryn Williams-Jones
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I never imagined a day like this would come! I applied for this last year in 2024 on a whim, thinking I’d at least put my name in among the…
I never imagined a day like this would come! I applied for this last year in 2024 on a whim, thinking I’d at least put my name in among the…
Liked by Bryn Williams-Jones
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