Meet the team

I am AI group leader at the digital ECMT and a lecturer at the Department of Computer Science at the University of Manchester.  My work at the digital ECMT targets the development of safe, explainable, and ethical AI systems to support the development of novel biomarkers and improve clinical decision making.  My main area of research is on the development of new neural and symbolic AI models for delivering efficient and explainable inference in different application domains.

I am a passionate data and AI researcher experienced in both academic and commercial (or applied) AI research. I have a background of over 10 years in systems and software engineering, AI, databases and information technology management. My work at the digital ECMT is focused on the development of explainable AI systems that support clinical decision making. I am also active in the representation learning and data management research areas.

I have a strong scientific background in biomedical engineering including working with clinical data and in developing analytical methods in a clinical environment. I completed a PhD in Microbial Genetics.

Within digital ECMT I provide application of bioinformatics to extract value from large, multidimensional datasets and to deliver transparent and explainable AI algorithms to benefit patients.

I have a strong professional background in qualitative research along with extensive experience in Phase 1 oncology clinical trials, as well as an MRes in Experimental Medicine (Cancer).

My focus is on facilitating the entire clinical trials process. This involves coordinating all trial-related activities at site, including identifying potential participants, and undertaking key trial assessments. I am passionate about working closely with patients to transform their role within clinical research.

I am a Medical Oncology consultant with the Experimental Cancer Medicine Team and serve as clinical lead on the Technology Clinical Trials team in digital ECMT and Research Digital Programme Board in The Christie Hospital in Manchester. I have a decade of experience in cancer clinical trials with a focus on early phase research and, more recently, use of technology for patient benefit.

I am an Honorary Lecturer at the University of Manchester, Manchester Lead on the Experimental Cancer Medicine Centres (ECMC) North Digital Committee in the UK and a work package lead in the international UpSMART Consortium, investigating and promoting use of technology in Early Phase Oncology Trials. I am driven to improve patient outcomes and experience through adoption of technology supported by evidence through the technology clinical trial.

Scientific IT leader with 22 years’ experience within the Pharmaceutical industry. Delivery of scientific software solutions, projects, programmes and build of scientific IT and informatics capabilities from early Research through to Clinical development. My whole career has had a focus on solving information challenges within innovation and science driven organisations.

I am passionate about the impact Informatics and IT can have on the patient.

I have over 15 years of experience leading complex projects within healthcare environments including the NHS, Pharmaceutical and Medical Device Industries. I have specific expertise in toxicology, oncology drug development and cancer services within the NHS.

I am a committed and enthusiastic individual who will strive to ensure we work as a team to deliver projects which add real value to patients to improve their outcomes.

I have a scientific background in biomedical engineering and completed my PhD in Tissue Injury and Repair. I have worked in healthcare equity research and managed an NIHR in vitro diagnostics programme, collaborating with the NHS and industry (SMEs) on large multidisciplinary research projects.

I aim to successfully manage the delivery of the UpSMART Accelerator Programme and have a positive impact on those involved in early phase cancer clinical trials.

I deliver the infrastructure that the digital ECMT applications are built upon. This involves close collaboration with Data Scientists, Business Analysts and Clinicians to understand patient and medical needs. We aim to provide innovative solutions in a secure, compliant and reliable manner. Through enhanced visualisations of clinical data, and the application of digital science, we hope to provide tools that enable enhanced decision making and patient benefit.

I have over 20 years’ experience delivering data driven applications in different sectors. This is underpinned by a strong academic background in the fields of mathematics, statistics and engineering, and a great deal of enthusiasm.

(Research IT, The University of Manchester)

I have over fifteen years’ experience of biological research, specialising in the application of bioinformatics to extract value from large, multidimensional datasets. I have worked across academic, government and pharmaceutical sectors, and have a strong understanding of drug discovery processes and clinical trials governance. I am driven by a desire to help discover new medicines, in particular through the application of technology and the analysis of big data.

I am here to understand your research questions, to ensure efficient deployment of software to support your study, and to look for opportunities to develop new tools to add value to your research data.

BSc (Hons) Biochemistry

Experience within the clinical arena expands across working on clinical trials within a Phase I Clinical Research Organisation (CRO) and translational research in oncology, spanning clinical safety through to exploratory biomarkers driving personalised medicine.

I will work closely with scientists, clinicians and patients gathering requirements to understand the clinical questions and patient needs transforming them into solutions.  My ultimate aim is to allow clinicians to make faster real time decisions driving forward personalised medicine and ultimately benefitting the patient.

I have a strong scientific background in pharmacology and oncology clinical trials with a BSc (hons) Pharmacology and Physiology and MRes in Experimental Cancer Medicine. My experience spans across patient centred research, translational research, Phase 1 research and radiation research.

My focus is on supporting projects that can help clinicians to find treatments that work for patients as individuals, and to find solutions that can aide patients to cope with the emotional and physical side effects of clinical trials.

I have over 10 years’ experience providing IT support within an higher education background. In recent years I have been working as part of the Research IT Infrastructure team within the University of Manchester, during that time I have helped to administer and provide support to researchers on a number of computational intensive research systems and services including High Performance Computing, data storage, virtual machine provision, and research data management.

Having worked closely with various research projects and teams in helping to implement and maintain their own bespoke IT infrastructure requirements. I am now part of the digital ECMT helping them meet their aims by supporting and provisioning new and existing services within a cloud environment.

(Research IT, The University of Manchester)

Anja is a Research Software Engineer for The University of Manchester Research IT. After finishing her Computer Science studies, Anja worked on a multitude of interdisciplinary projects. Currently, Anja works with researchers to adapt their software to run on larger data efficiently, writing bespoke code in suitable languages, and advising on applications.

(Research IT, The University of Manchester)