UCL Cancer Institute


Research Group members

Chris Steele
Christpher Steele, Postdoctoral Fellow

I completed my PhD in Statistical Genetics, supervised by Prof. David Balding. I now focus on genomics whereny I apply statistical methods to genomic datasets to interrogate sarcoma biology, with a focus on genomic complexity and it's association with disease classification and prognosis.

To date, I have investigated the genetic and epigenetic landscape of undifferentiated sarcoma, to better understand the biology underlying the tumour type; this work was recently awarded the plenary oral prize and Sir Alastair Currie poster prize at the Maastricht Pathology 2018 international pathology conference. I previously received a 1st class BSc in Biology from the University of Bristol, and an MSc in Genetics of Human Disease from University College London. Outside of work, I have a keen interest in photography.

Binghao Chai

Binghao Chai, PhD student

I am undertaking a PhD in the UCL – Computer Science division supervised by Dr. Kevin Bryson and Dr. Nischalan Pillay (UCL Cancer Institute). My current project theme is quite broad : exploring the utility of machine learning on sarcoma pathology images for classification and prognostic benefit. The first question that I'm looking into is the development of a computer solution to aid in the diagnosis of well differentiated liposarcoma.

Academic background: I received my Financial Systems Engineering Master's degree at UCL Computer Science supervised by Dr.Earl Barr. And before that, I was awarded BSc Computer Science degree in University of Manchester, under supervision of Prof. John Keane.

My research interests are digital pathology,artificial intelligence, applied machine learning in medical/clinical area, computer vision and data modelling and analytics.

Shadi Hames, PhD student

I am undertaking a PhD in Bioinformatics funded by the Sakoya Grace Robinson studentship provided by Sarcoma UK. My project utilises bioinformatic and statistical approaches to extract mutational signatures and correlate these to immune infiltrates.

Before taking on this project, I completed a Biological Sciences undergraduate degree and Molecular Genetics masters where my research project focused on using bioinformatic tools to find novel mutations in the germline of Alzheimers Disease patients.