Interdisciplinary workshop on Head and Neck Cancer


To provide a platform to exchange ideas, raise awareness of recent developments and stimulate discussion on data oriented research into Head and Neck (H&N) cancer.

Areas of the workshop


  • What questions need answering?
  • What data is routinely collected?
  • How can data analysis improve H&N cancer treatment?


  • What is Machine Learning? Data Science?
  • What data do researchers need?
  • What methods can be applied to clinical data?
Important details

When: Tuesday 10th March 9.30-4.30

Where: Private Dining Room 1, County South, Lancaster University

Who: Researchers, Academics and Clinicians in the fields of statistics, data science, ML, Radiotherapy and H&N 


The current confirmed speakers are listed below, more will be added in the coming weeks. 

Glyn Shentall

Glyn Shentall is the Head of Radiotherapy Physics at the Rosemere Cancer Centre in Preston and Visiting Professor at the University of Cumbria. Glyn has over 37 years experience working in this field, previously working at The Royal Free Hospital and The Royal Marsden Hospitals in London. Glyn has been involved with innovative research through the clinical application of physics particularly in dynamic radiotherapy.

Andrew Green

Dr Andrew Green is a research fellow in software engineering based at the Christie Hospital in Manchester. His research focuses on generating hypotheses that will inform clinical practise and improve cancer survival through exploratory data analysis. His work includes the use of a novel atlas for muscles of mastication to reduce inter observer variability in H&N radiotherapy contouring and Machine learning to explore the effect of Sarcopenia for patients undergoing cancer treatments.

North West Cancer Research

North West Cancer Research (NWCR) is the leading cancer charity for the North West and North Wales, focusing on types of cancer that affect people in the region. They fund pioneering research into the cause, care and cure of cancer. NWCR highlight H&N cancer as a regional cancer that requires addressing, therefore prioritising this as an area of continued funding.

Jamie-Leigh Chapman

Dr Jamie-Leigh Chapman is a Data Scientist at Wrightington, Wigan and Leigh NHS. Her work involves developing and implementing systems based on routinely collected hospital data to contribute towards service improvement. Prior to this Jamie was the lead data scientist at Howz and completed a PhD in statistics and operational research. Projects she has worked on include forecasting online delivery sales for a large supermarket, learning people’s routines and detecting changes using smart home data and developing an admission risk score for A&E attendees.

Matthias Ehrgott

Matthias is Professor in Management Science at Lancaster University. He is the current president of the International Society on Multiple Criteria Decision Making. He studies the theory, methodology and application of multi-objective optimisation in particular in transportation and health. Matthias has worked on many aspects of radiotherapy treatment planning in oncology and is interested in data driven methods to help treatment planners achieve the best outcome for patients.

Rob Lyon

Rob is a Senior Lecturer in the Department of Computer Science at Edge Hill University. His research interests include the development of new machine learning algorithms for imbalanced learning problems, real-time data processing, image analysis,and the ethics of A.I. He is the principle investigator for an STFC funded project that set up the Radiotherapy Machine Learning Network

Chris Kennelly

 Chris Kennelly is a former NHS therapeutic radiographer and founder of Cievert. Cievert has enhanced a wide variety of clinical disciplines: addressing referral management, revolutionising patient follow-up and improving delivery of consultations. In particular Casper Oncology is an intelligent web-based system that uses logic to manage specialist secondary to tertiary referrals dynamically in radiotherapy, brachytherapy, chemotherapy, and nuclear medicine. Their platforms collect rich, standardised data which can be anonymised for research.  

Cievert is currently working with Durham University Computer Science Dept to explore whether this rich data can provide valuable medical insight, with the goal of developing an AI-enabled platform that stratifies risk and can detect conditions earlier by using ML techniques.  Cievert software currently manages approximately 20-25% of all UK radiotherapy patients at some point in the patient pathway and has growing clinical operations in a range of disciplines including gastroenterology, endoscopy, renal, orthopaedics, mental health and rheumatology.”


Registration is free and open to all Researchers, Academics and Clinicians in the fields of statistics, data science, Machine Learning, Radiotherapy and Head and Neck cancer.  All bookings are done through Eventbrite.

Contact us

If you have any questions, please contact

Emma Stubington, Impact Research Associate-

Julia Carradus, Data Science Administrator-