Enabling Data Access through Privacy Preserving Synthetic Data
Synthetic data are artificially generated data that are made to resemble real-world, often sensitive, data.
Read more on Enabling Data Access through Privacy Preserving Synthetic DataHenry Wilde
Data Scientist
Henry joined the Data Science Campus in May 2022 and works in the Synthetic Data and Privacy Enhancing Technologies team. Prior to joining the ONS, he worked at Cardiff University in the Welsh Wastewater Surveillance Programme, where he developed models and software infrastructure to help monitor the spread of COVID-19 in Wales.
Henry has a background in mathematics and received his PhD from Cardiff University in operational research applied to healthcare. His research interests include game theory, algorithm evaluation and research software development.
Outside of work, Henry enjoys reading, tinkering with his bike, and (most of all) cooking.
Posts by Henry Wilde
Synthesising the linked 2011 Census and deaths dataset while preserving its confidentiality
This report offers a thorough look into how we created a synthetic version of a large, linked, and confidential dataset while adhering to a formal privacy framework
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Campus in the top three at the UN PET Lab hackathon
Campus data scientists achieved an impressive third place in the UN PET Lab hackathon, competing against nearly 200 international teams. Read about their experience and approach during the competition.
Read more on Campus in the top three at the UN PET Lab hackathon