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From cancer detection to counter-fraud: a global data science journey
Santosh Kumar is one of our principal data scientists – did you know that he has helped develop machine learning models that assist in the early detection of breast cancer? He is now using his expertise to help safeguard NHS resources through Project Athena.
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A problem solver at heart: From engineering to NHS fraud detection
Tiago Teixeira is a data scientist on Project Athena with a background in engineering and machine learning. He applies data to protect public funds and solve complex problems. From optimising aerospace materials to detecting fraud in the NHS, his work shows that great insights can drive real impact.
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Engineering clean, reliable data to help detect NHS fraud
Naga Balam is a senior data engineer on Project Athena, where he ensures that data from multiple sources is clean, structured, and reliable, enabling it to be used effectively for identifying potential fraud in the NHS.
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Rebecca Hinchcliffe: closing the loop on fraud
Discover how Rebecca's expertise is preventing NHS fraud.
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Behind the scenes of Project Athena
David Dixon, Data Acquisition Lead, explains how data-driven insights are key to preventing fraud in the NHS.
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Decoding the language of fraud prevention and data science
We explain key terms in machine learning and data analytics.
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Tricia Morrison talks about the value of Project Athena
Project Athena's senior responsible officer discusses the value of Project Athena and its support for the wider healthcare system.
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Ever wondered how a career in data science helps tackle NHS fraud?
Susan Proctor, data science subject matter expert, shares how her knowledge is helping drive Project Athena's fight against NHS fraud.
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Ben Alcock: using data to protect NHS resources
Ben Alcock uses data to uncover fraud and improve patient care, ensuring the NHS resources go where they’re needed most.
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