The Corndel Digital, Data Advisory Board

By September 12, 2019 October 9th, 2019 News

Corndel Digital is proud to introduce our Data Advisory Board. This Board provides expertise, guidance and insight for The Corndel Data Analytics Diploma. The Board meets monthly to ensure that Corndel continues to deliver cutting edge training that drives business value.

The Board members were carefully selected to provide a range of skills across academia and business:

Greg Hawkins is an independent consultant on Tech, Fintech, Cloud and DevOps. He was CTO of Starling Bank, the UK mobile-only challenger bank from 2016–2018, during which the fintech start-up acquired a banking licence and went from zero to smashing through the 100K download mark on both mobile platforms. He remains a senior advisor to Starling Bank today. Starling built full-stack banking systems from scratch, became the first publicly available cloud-based current account in the UK and the first UK bank with PSD2-capable open APIs and was voted Best British Bank and Best British Current Account in 2018 and 2019. Greg joined the Corndel Data Advisory Board after being consistently impressed by Corndel; ‘Corndel brings a drive to professional learning that fits the needs of our fast-changing world.’

Kim Nilsson has a background in science with a PhD in Astrophysics from Copenhagen University, and once held the title of ‘Hubble Astronomer’ at the European arm of the Hubble Space Telescope facilities. She transitioned out of academia via an MBA from Cranfield School of Management, where the first steps towards Pivigo were taken. Kim is now CEO and Founder of Pivigo, a data science marketplace and training provider based in London and Berlin. Via Pivigo, Kim has been involved in delivering almost 200 data science projects to over 120 clients; including companies such as AstraZeneca, Barclays, News UK, M&S, and Royal Mail. Through their data science bootcamp “Science to Data Science”, Pivigo has also trained 600 PhD data scientists to enter the European workforce. Kim has won several awards; including ‘Entrepreneur of the Year’ at the Women in IT awards and been named one of the Top 50 most influential women in IT in the UK. She is passionate about data, people, and connecting the two.

Kim knows first-hand, the need for talent in the digital and data industries, and she is well aware that the regular education system is not working fast enough to deliver this talent for UK businesses to grow and thrive. “I was always in favour of the Apprenticeship scheme, and I am especially excited about how these programmes help individuals upskill and transition careers later in life. I am proud to be able to influence and promote programmes targeting those interested in data science and analytics. My background — working with data projects and in data education for the last six years, brings expertise and an external view on best practices in the industry.”

David Pool is an experienced technologist and entrepreneur in the field of data analytics, machine learning and AI, recently working in the Machine Learning Research Group at the University of Oxford to commercialise data engineering and model automation for organisations looking to deploy machine learning. David is now UK Managing Director of Curious AI, a research team from the University of Helsinki, developing the concepts of curiosity, reasoning and memory within deep learning models.

David is a visiting lecturer at Oxford University on the use of data and insight to create organisational value and advises the All-Party Parliamentary Committee (APPC) on AI. As a computer scientist, David is an advisor on the use of Machine Learning in the emerging use of epigenetic techniques to overcome complex diseases and was a main board director of TechUK and advisor to the AI working group.

Professor Toby Gee is a British mathematician working in number theory and arithmetic aspects of the Langlands Program. He specialises in algebraic number theory. Toby was awarded the Whitehead Prize in 2012, the Leverhulme Prize in 2012, and was elected as a Fellow of the American Mathematical Society in 2014.

Toby read mathematics at Trinity College, Cambridge, where he was Senior Wrangler in 2000. After completing his PhD with Kevin Buzzard at Imperial College, he was a Benjamin Peirce Assistant Professor at Harvard University until 2010. From 2010 to 2011 Toby was an Assistant Professor at Northwestern University, at which point he moved to Imperial College London, where he has been a Professor since 2013.

More information on The Corndel Data Analytics Diploma.