Imperial College London

DrMatthewWilliams

Faculty of MedicineDepartment of Surgery & Cancer

Honorary Senior Research Fellow
 
 
 
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Contact

 

+44 (0)20 3311 0733matthew.williams Website CV

 
 
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Location

 

Charing Cross HospitalCharing Cross Campus

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Summary

 

Summary

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

We are interested in mathematical and computational approaches to clinical problems, including the use of machine learning, computational argumentation and the use of clinical 'big data'. In particular, we are interested in improving access to and use of clinical data, with the aim of developing and applying computational techniques to these data.

We talk about our work on the lab blog. I currently supervise 5 PhD/ MD students, as well as MRes & MSc student projects. We are open to supervising UG student projects, but would encourage students to apply through schemes such as the RCR SURF program.

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

Clinically, I deliver radiotherapy and chemotherapy to patient with brain and spinal tumours, including IMRT and stereotactic radiotherapy. My clinical work is based at Charing Cross hospital, and we have a strong clinical-research link, including the BrainWear trial.

Significant previous & current work includes the Simulacrum and GlioCova.



Publications

Journals

Chen J, Sinclair G, Rozati H, et al., 2022, Improving on whole-brain radiotherapy in patients with large brain metastases: a planning study to support the AROMA clinical trial, Radiotherapy and Oncology, ISSN:0167-8140

Hallows R, Glazier L, Katz MS, et al., 2022, Safe and Ethical Artificial Intelligence in Radiotherapy - Lessons Learned From the Aviation Industry, Clinical Oncology, Vol:34, ISSN:0936-6555, Pages:99-101

Mi E, Mauricaite R, Pakzad-Shahabi L, et al., 2021, Deep learning-based quantification of temporalis muscle has prognostic value in patients with glioblastoma, British Journal of Cancer, Vol:126, ISSN:0007-0920, Pages:196-203

Wang JW, Williams M, 2021, Exploring definitions of radiological sarcopenia in cancer: a protocol for a scoping review, Bmj Open, Vol:11, ISSN:2044-6055

Varughese M, Treece S, Drinkwater K, et al., 2021, Failing to Close the Gap between Evidence and Clinical Practice in Radical Bladder Cancer Radiotherapy: A Critical Unmet Need, Clinical Oncology, Vol:33, ISSN:0936-6555, Pages:340-341

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