Team | Computational Oncology Laboratory

Meet the Team

The team members at Computational Oncology Laboratory are made up of experienced and dedicated researchers from a wide variety of disciplines and backgrounds. What unites us is an undying passion for learning and discovery. Meet us below.

Consultant clinical oncologist

Williams, Matthew

I lead the Computational Oncology group at Imperial College, based jointly between the Dept. of Computing and Division of Surgery & Cancer.

I have held several local & national positions. I was previously Clinical Lead for QA at NCRAS and a Macmillan Advisor on Cancer data. I currently chair the RCR QI & Audit committee for clinical oncology. I am on the PC for IEEE CBMS.

PhD student

Anwar, Nur Aizaan

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Registered radiation oncology registrar

Chen, Jiarong

Since early 2020, Dr Williams and I have started to consider a clinical trial to improve the outcome of patients with large brain metastases which is now known as AROMA. I have successfully developed a novel VMAT dosing model which has been proved to be efficient to deliver higher dose to the target volume.

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PhD student

Choudhury, Mahbuba

I am a clinical oncology trainee, PhD student, and current SRS Fellow at Charing Cross Hospital. My research focuses on exploring the relationship between brain structure and function in brain tumour patients using advanced MRI techniques and commercially available wearables. This work aims to enhance our understanding of how brain tumours change over time, aiding in the development of advanced models to better predict disease progression and functional decline. Additionally, I am investigating the feasibility of generating synthetic MRI images through advanced modelling techniques to improve diagnostic and monitoring capabilities.

Consultant clinical oncologist

Dadhania, Seema

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PhD student

Dejl, Adam

I am a PhD student in Department of Computing at Imperial College London under the joint supervision of Prof Francesca Toni and Dr Matthew Williams. My research focuses on explaining the reasoning of deep learning models in the context of the Argumentation-based Deep Interactive eXplanations (ADIX) project.

PhD student

Gould, Adam

I am a PhD student researching how artificial intelligence can improve the interpretation of wearable data for better assessments of patients with a primary brain tumour. My research focuses on explainable multimodal models and neuro-symbolic AI. I am supported by the UKRI CDT in AI for Healthcare at Imperial College London and am under the joint supervision of Prof Francesca Toni and Dr Matthew Williams.

Honorary research fellow

Gregory, Jonathan

I am a consultant paediatric and adult sarcoma surgeon by background. I now work full time on the real-world applications of data science, AI and robotics in healthcare. My focus is the people, process & pathway aspects of digital healthcare. I have a particular interest in the digital transformation of cancer care and work with start-ups, SME and third sector organisations to help enable this.

Ho, Andrew

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Research associate

Le Calvez, Kerlann

I am a research assistant with a passion for harnessing big data to revolutionise healthcare. My interests span statistics, coding, and machine learning, focusing on innovative techniques to gain deeper insights into large cohorts of patients undergoing complex anti-cancer treatments. By merging data science with healthcare, I aim to contribute to the advancement of personalised medicine and improved patient outcomes.

Data analyst

Mauricaite, Radvile

I am a data analyst with a background in medical biosciences.

I am working on several projects, mainly focusing on research and data analysis in a national brain tumour patient study as well as developing and validating a segmentation tool to segment temporalis muscle from brain scans.

Clinical trial practitioner

Pakzad-Shahabi, Lillie

I hold a BSc in Biomedical Science and an MSc in Neuroscience (UCL). I have worked within Imperial NHS Trust and College since 2014, working in neuro-oncology, initially as a Multi-Disciplinary Team co-ordinator, and since August 2017 as the Clinical Research Practitioner at Imperial College Brain Tumour Centre of Excellence.

Consultant clinical oncologist

Rozati, Hamoun

I am a clinical oncology medical doctor in the North London training programme, and a clinical fellow in Gamma Knife Radiosurgery at the Wellington Hospital in London. My research is in the computational analysis of stereotactic radiotherapy for brain metastases, working towards a postgraduate MD(Res) degree within the department of Computational Oncology. My research topics include multiple brain metastases, radiomics, and brain metastases mapping.

PhD student

Wang, Qiquan

I am a PhD student in the EPSRC CDT in Modern Statistics and Statistical Machine learning at Imperial College London under the joint supervision of Dr Anthea Monod and Dr Matthew Williams. My research interests are in topological data analysis, statistics, and machine learning and my research project investigates combining these methods to study imaging, molecular, and genetics data for GBM prognosis.

PhD student

Zhang, Dekai

My research focuses on exploring decentralised methods for training and explaining machine learning models with a specific application to cancer prognosis. I am also interested in multimodal approaches for modelling the relationship between images and text directly. I am currently a PhD student with the UKRI CDT in AI for Healthcare at Imperial College London under the joint supervision of Prof Francesca Toni and Dr Matthew Williams.