UCL World Cancer Day Public Lecture
Cancer vs. The Computer: How data science, AI and predictive modelling are reshaping cancer care.
About this event
To mark World Cancer Day 2026, our UCL panellists discuss some of the latest cancer research in their respective fields.
This special event will explore the rapidly evolving field of Computational Cancer. The discussion will highlight how data‑driven science, artificial intelligence and advanced mathematical modelling are transforming our understanding of cancer, improving diagnostic accuracy and accelerating the development of new therapies.
The evening will feature a dynamic panel discussion followed by an audience Q&A, offering insights into the future of cancer research.
Speakers
Jasmin Fisher
Professor of Computational Biology
UCL Cancer Institute
Professor Jasmin Fisher is a professor of Computational Biology. Fisher lab develops bespoke computer-based mechanistic models and analysis techniques to study cancer evolution and mechanisms of therapy resistance to identify better personalised treatments for cancer patients.
Simon Walker-Samuel
Professor of Biophysics and Imaging
UCL Division of Medicine
Simon Walker-Samuel is a Professor of Biophysics and Imaging at University College London, Vice Dean for Research in the Faculty of Medical Sciences, and Co-Directs the Centre for Computational Medicine, where his work focuses on developing and validating digital twins, particularly in cancers and retinas. With a background training in physics, his research aims to integrate modelling, imaging, and data to improve diagnosis, stratification and treatment outcomes.
Nicola Maciocia
Principal Clinical Research Fellow
UCL Cancer Institute
Dr Maciocia is a Clinician Scientist at UCL and Honorary Consultant Haematologist at UCLH, specialising in cellular therapies and bone marrow transplantation. Her research centres on developing CAR-T cell therapies for blood cancers. She completed her PhD in Dr Martin Pule's laboratory at UCL in 2022, developing anti-CD21 CAR-T cells, finished her clinical training as an NIHR Clinical Lecturer and currently serves as Senior Clinical Research Fellow in the UCL CAR-T cell programme.
Catarina Isabel Correia Veloso Da Veiga
Associate Professor
UCL Department of Medical Physics and Biomedical Engineering
Catarina Veiga is an Associate Professor at UCL and Principal Investigator of the Paediatric Radiotherapy and Imaging (PRIma) group. With training in physics, medical physics, and a PhD in image analysis for adaptive radiotherapy, she leads an interdisciplinary team spanning imaging, engineering, and oncology. Their research advances imaging, analysis, and simulation technologies to improve radiotherapy precision and reduce side effects, with a strong focus on paediatric cancer treatment.
Access profile
- This event will take place online
- A link to the event will be sent to you before the event start time
- Live captioning is available for this event.
We aim to make our events as inclusive as possible, so if you have any accessibility requirements or enquiries that are not covered in the above access profile please contact the events team at fms.education@ucl.ac.uk. If you could contact us allowing as much time as possible before the event we will be able to ensure where required that the appropriate measures are taken.
Further information
Ticketing
Ticketed and Pre-booking essential
Cost
Free
Open to
All
Availability
Yes