Emma McCoy is the Vice-Dean (Education) for the Faculty of Natural Sciences and Professor of Statistics in the Mathematics Department at Imperial College London. Her current research interests are in developing time-series and causal inference methodology for robust estimation of treatment effects, particularly in a transport setting. Emma is a member of Council of the Royal Statistical Society as well as a member of their Academic Affairs Advisory Group.

She has a particular interest in Mathematics and Statistics education and is a member of the Royal Society’s Advisory Committee for Mathematics Education (ACME). She is leading the grand challenge associated with monitoring complex systems as part of the Lloyd’s Register Foundation/Alan Turing Institute Data Centric Engineering Programme and has recently been invited to join the Royal Society’s steering group on the dynamics of data science. She is involved in many outreach activities; she has delivered the London Mathematical Society (LMS) popular lecture and is a regular speaker at the Royal Institution’s Mathematics Masterclasses and public engagement of science events.

About 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: [ Ссылка ]

свернуть