Heather has a strong commercial track-record and extensive board and senior management experience in entrepreneurial and high technology businesses, consulting and central government.
Heather was appointed as Chair of the Open Data User Group (ODUG), an independent advisory group to the Government’s Public Sector Transparency Board, for three years from May 2012; she is also a member of the Regulatory Board of the Royal Institute of Chartered Surveyors (RICS).
Heather has previously worked at 3Dlabs as Vice President of Engineering and Operations and eComData as Managing Director. More recently, Heather worked at the centre of UK Government, spending two years in HM Treasury and three in the Department of Business, Innovation and Skills at the Better Regulation Executive (BRE).
Heather graduated from Loughborough University of Technology with a 1st class B.Sc. (Hons) in Electronic and Electrical Engineering and a diploma in Industrial Studies; she also has an Executive MBA from the London Business School.
Out of working hours, Heather enjoys sailing, travelling, playing Bridge, the creative arts and good food.
The event:
The Stanford Women in Data Science conference (WiDS) is a one day global conference that will bring data scientists together to share cutting edge research. The conference aim is to inspire and encourage data scientists worldwide and exclusively support women in the field.
We will proudly host WiDS at The Alan Turing Institute. The conference will feature eminent female speakers through technical talks and a panel discussion.
The conference programme and speaker information will be soon available through the conference website.
The event will provide great opportunities to connect with potential mentors, collaborators and peers; hear about recent advancements in data science and explore new research dimensions.
We welcome all regardless of gender to join us on Friday 6 April 2018 for an excellent learning experience.
In partnership with:
G-Research is a leading quantitative research and technology company. We use the latest machine learning modelling techniques, robust statistical analysis and pattern recognition to analyse thousands of asset price time series, extracting deep insights from truly massive datasets.
More information can be found at: www.gresearch.co.uk
Microsoft is the leading platform and productivity company for the mobile-first, cloud-first world. At Microsoft, our goal is to attract and retain the best and brightest talent to help us achieve our mission to empower every person and every organisation on the planet to achieve more. The message for our people, our greatest asset, is simple: come as you are and do what you love.
More information can be found at: http://microsoft.com/research
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