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.
Core group
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.
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Consultant clinical oncologist
Dadhania, Seema
I am a Consultant Clinical Oncologist specialising in neuro-oncology and lung cancer at Imperial College Healthcare NHS Trust, and an honorary senior clinical lecturer at Imperial College London. I completed my PhD in convergence science at Imperial, exploring the use of wearable accelerometry and explainable AI to better understand functional outcomes in patients with brain tumours. My research interests focus on digital health, real-world patient data and the integration of emerging technologies into cancer care. I am particularly interested in developing scalable, patient-centred approaches to monitoring disease, treatment outcomes and quality of life, and translating these into meaningful improvements in clinical practice.
Data scientist
Le Calvez, Kerlann
I am a research associate 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.
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.
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Postdoctoral researchers
Post-doc
Cespedes Gomez, Nathalia
I am a biomedical engineer with an MSc in Electronics and a PhD in Computer Science from Queen Mary University of London, funded by DeepMind. My doctoral research focused on socially assistive robotics for healthcare, developing human-robot interfaces and conversational systems for reminiscence therapy for people living with dementia. I have also worked at Imperial College London on data science for dementia research. I am now a Research Associate at Imperial, based in the Computational Oncology Lab at Charing Cross Hospital, where I use near-patient sensing tools to better understand patients' treatment trajectories and decline.
Post-doc
Pandya, Snehal
I hold a BSc Honours degree in Psychology, an MSc in Clinical Neuroscience, and a PhD in Clinical and Cognitive Neuroscience. My doctoral research investigated the effects of polygenic risk scores for Alzheimer's disease on brain structure, cerebrospinal fluid and cognition, both cross-sectionally and longitudinally. Since 2015, I have been working at Imperial College London in both observational and interventional clinical trials, and in a range of disease areas. Within the Computational Oncology Lab, I am the Clinical Trials (Development) Manager in Neuro-Oncology.
Clinical trial and analytical teams
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.
PhD students
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.
Former PhD students
PhD student
Wang, James
He works on BrainSpeech.
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.
Partners
Consultant clinical oncologist
Ho, Andrew
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Former MD students
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.
Interns
Intern
Das, Rishit
Intern
Kiehl, Clémence
Former interns
Intern
Mauricaite, Radvile
Intern