Research output per year
Research output per year
Prof, Professor of Clinical Bioinformatics and Healthcare Science Education
Healthcare Science Education
Over the last 8 years I have worked nationally with Health Education England (HEE) and the Modernising Scientific Careers healthcare sciences agenda to create the new profession of Clinical Bioinformaticians (~ 150 trainees to date) and develop the knowledge and skills of healthcare professionals in genomic medicine, all of whom are now critical to the delivery of NHS England’s Genomic Medicine Service. I have contributed extensively to curriculum design at the request of HEE and have developed and delivered a Master’s programme to educate Clinical Bioinformaticians, involving students and lay representatives as co-creators to develop the curriculum to ensure teaching meets the needs of a rapidly changing clinical genomics landscape. Between 2019-20 I participated in the national apprenticeship trailblazer to develop a clinical scientist apprenticeship standard, now approved by the Institute of Apprenticeships and Technical Education for delivery. Between 2013-2019 I held positions as Programme Director for the MSc Clinical Sciences (Bioinformatics) and the MSc Genomic Medicine, both accredited and funded by HEE.
Online Education
I have led fully online education at Manchester since 2016, pioneering and leading the University first Massive Online Open course (MOOC) with FutureLearn: Clinical Bioinformatics: Unlocking Genomics in Healthcare. The course design embraced Laurillard’s conversational framework, and has attracted over 18,000 participants to date. Between 2018-2019, I led the partnership with University of Manchester Worldwide to pioneer and develop a new fully online course in Clinical Bioinformatics, the first such course from our Faculty. Since 2019 I have been Programme Director for the newly created PG Certificate in Clinical Bioinformatics, and to our knowledge the first course of its type in the world. To date attracting 47 international and national students.
In 2020 I co-led the develop of a new Futurelearn MOOC: Artificial Intelligence for Healthcare: Equipping the Workforce for Digital Transformation.
Faculty Teaching Leadership Roles
Since 2014 I have held several leadership positions such as Faculty Lead for Continuing Professional Development, PGT Lead for Genomics, Bioinformatics and Biotechnology. Currently I hold the position of Divisional Teaching Lead in the Division of Informatics, Imagine & Data Sciences and also chair the Faculty’s Manchester Worldwide (online education) user group and am a member of the Faculty’s Postgraduate Teaching Committee.
University Teaching Leadership Roles
Currently I represent the Faculty on the Strategic Management Board of Manchester Worldwide.
My current research interests include the use of blockchain and smart contracts to permit sharing of genomic data, including the supervision of a PhD student, the development of free and open source software to support genomic variant interpretation https://variantvalidator.org/ and also the development of an App to improve access to genetic counselling for south Asian communities in the UK. I led an industrial research collaboration as principal investigator with UK-based genomic testing company, Molmart, to develop an interface for the interpretation of variants from exome screening data, now being deployed clinically.
I have supervised a 17 MSc projects (outlined below):
Name & Title |
Dates |
Ben Saunders: Assessment of splice-site predictive tools for use in clinical analysis of potential splice-affecting variants |
2015-2016 |
Rebecca Haines: Variant annotation in targeted next generation sequencing tests; setting the standard |
2015-2016 |
Matt Garner: Barriers to reference genome assembly migration for clinical genetics laboratories |
2015-2016 |
Kirsty Russell: Development of a tool for the management of Chronic Myeloid Leukaemia Monitoring |
2016-2017 |
Stuart Cannon: Assessing the sensitivity of a diagnostic CNV analysis pipeline for genome sequence data
|
2016-2017 |
Eileen Gallagher: Analysis of comments within MOOC discussion boards related to sharing genomic data |
2016-2017 |
Phil Davidson: A Variant Interpretation tool for the Implementation of the ACMG Guidelines for Sequence Variant Classification |
2017-18 |
Matt Wherlock: Phenotype prioritisation to support a new full exome sequencing service |
2017-18 |
Rosie Coates-Brown: The development of a strategy to reduce the burden of Sanger sequencing confirmation of variants detected by NGS genetic testing services at Manchester Centre for Genetic Medicine |
2017-18 |
Christine Hicks: Delivering routine electronic reporting of genetic results |
2018-19 |
Natasha Pinto: Investigating improvements to the current exome pipeline |
2018-19 |
Stefan Piatek: Development of a truth set for validating CNV callers |
2018-19 |
Jessica Adams: Variant interpretation interface and variant database development |
2019-20 |
Stewart O’Neill: Development of an application to provide an a priori metric for the likelihood of pseudogene contamination and optimisation of alignment to effectively map NGS reads in pseudogene-affected panels |
2019-20 |
Nana Mensah: Development of a pipeline for flagging the reanalysis of variants from exome data |
2019-20 |
Jethro Rainford: Developing bioinformatics methods for automated systematic reanalysis of negative cases in rare disease. |
2020-21 |
Seiko Makino: Development of analysis pipeline for Nanopore sequencing platform in 16S rRNA microbial analysis
|
2020-21 |
2015-Present: European Society of Human Genetics
2019-present: Associate member Faculty of Clinical Informatics
2010-2014: Member of the British Society of Genetic Medicine Council
2016-2017: Fellow of the Higher Education Academy
2017: Senior Fellow of the Higher Education Academy
2017-present: Association of Clinical Genomic Science National Clinical Bioinformatics Network
2019: Associate member of Faculty of Clinical Informatics
2016 – 2017: PG Certificate in Higher Education, The University of Manchester
2016: ILM Level 5 Certificate in Coaching and Mentoring
Ang Davies graduated with a BSc in Biochemistry from the University of Bath, before completing a PhD in Molecular Biology at Warwick University. She then undertook a postdoctoral research fellowship at AstraZeneca and moved to Renovo, a biotech company in Manchester as Principal Scientist working in drug development analytics.
Ang is a Professor of Clinical Bioinformatics and Healthcare Science Education in the School of Health, Faculty of Biology, Medicine and Health at The University of Manchester.
Healthcare Science Education
Over the last 8 years I have worked nationally with Health Education England (HEE) and the Modernising Scientific Careers healthcare sciences agenda to create the new profession of Clinical Bioinformaticians (~ 150 trainees to date) and develop the knowledge and skills of healthcare professionals in genomic medicine, all of whom are now critical to the delivery of NHS England’s Genomic Medicine Service. I have contributed extensively to curriculum design at the request of HEE and have developed and delivered a Master’s programme to educate Clinical Bioinformaticians, involving students and lay representatives as co-creators to develop the curriculum to ensure teaching meets the needs of a rapidly changing clinical genomics landscape. Between 2019-20 I participated in the national apprenticeship trailblazer to develop a clinical scientist apprenticeship standard, approved in 2020 by the Institute of Apprenticeships and Technical Education for delivery.
Leadership in Digital Transformation
The development of digital technologies to support healthcare professionals and patients is happening at pace. We are rapidly moving from e-prescribing, to mobile health, with a suite of Apps available to help patients to monitor their own health, book appointments and view their GP records. By 2024, all secondary care providers are expected to be fully digitised, implementing electronic health records in plans laid out in the NHS Long Term Plan. This will mean that the utilisation of artificial intelligence (AI) and machine learning methods will be enabled through collection of data through one system. AI can be used to augment clinical decision making and to also predict patient flow and staffing requirements, thereby giving precious time back to healthcare professionals to focus on patient care. Patients will also have much easier access to their own data than in the past, and will be empowered to ask questions regarding it and have opinions and expectations over who should and shouldn’t have access to it. In 2019 I was appointed by the School of Health Sciences as Director of Digital Transformation in Healthcare Education, in this role I am working with colleagues at HEE and Manchester to ensure that current and future healthcare professionals are equipped to deal with digital transformation in their workplaces.
Details of effective engagement with the community in the presentation and explanation of scholarly activity
Representation of the University within the local, regional or national community.
2010-Present: STEM Ambassador:
Other promotion of medicine and or health science within the local, regional or national community
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Doctor of Philosophy, Molecular Analysis of a Bacterial Chitinolytic Community in an Upland Pasture, The University of Warwick
Award Date: 17 Jul 2003
Bachelor of Biomedical science, University of Bath
Award Date: 16 Jul 1998
Deputy Editor , BMJ Health and Care Informatics
Jul 2019 → …
External Examiner, University of Cambridge
Oct 2017 → …
Research output: Contribution to journal › Article › peer-review
Research output: Preprint/Working paper › Preprint
Research output: Contribution to journal › Commentary/debate › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Hart, J. (PI), Finn, G. (PI), Byrne-Davis, L. (PI), Alghanaim, N. (PGR student), Alotibi, W. (PGR student), Carr, N. (PGR student), Fisher, R. (PGR student), Conen, S. (CoI), Oladipo, E. (CoI), Mawdsley, A. (CoI), Grundy, J. (CoI), Jopling, H. (CoI), Davies, A. (CoI), Cowen, R. (CoI), Burns, D. (CoI), Choudhury, B. (CoI), Ho, T. K. (PGR student), Singh, M. (CoI), Thampy, H. (CoI), Roudsari, R. (CoI), Lindley, R. (CoI), Farrington, R. (CoI), Collins, L. (CoI), Schafheutle, E. (CoI), Brown, L. (CoI), Drovandi, A. (PI), Allen, O. (PI) & Awan, A. (PI)
Project: Other
Davies, A. (PI) & Wilson, K. (CoI)
22/07/22 → 29/09/23
Project: Research
Davies, A. (PI), Brass, A. (CoI), Davies, A. (CoI), Hooley, F. (CoI), Astley Theodossiadis, S. (CoI), Stivaros, S. (CoI), Bromiley, P. (CoI) & Eleftheriou, I. (CoI)
13/09/21 → 13/12/21
Project: Other
Davies, A. (PI) & Davies, A. (CoI)
15/02/21 → 14/02/22
Project: Research
Davies, Ang (Recipient), 30 Aug 2018
Prize: Prize (including medals and awards)
Davies, Ang (Recipient), Sept 2018
Prize: Prize (including medals and awards)
McMillan, B. (Speaker), Wilson, K. (Speaker) & Davies, A. (Speaker)
Activity: Talk or presentation › Invited talk › Teaching and Research
Ang Davies (Participant)
Impact: Technological impacts