Women in data science conference
Organiser: Fatima Batool (The Alan Turing Institute and WiDS Ambassador)
Date: 6 April 2018
This event is being organised in partnership with G-Research and Microsoft
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.
Cecilia Mascolo (University of Cambridge, UK)
Codina Cotar (Department of Statistical Science, UCL, UK)
Emma McCoy (Imperial College London, UK)
Heather Savory (Data Capability, UK)
Jil Matheson (DBC, FAcSS, formal national statistician)
Kathy Whaler (OBE, FRSE, Fellow AGU, The University of Edinburgh, UK)
Kate Saunders (University of Oxford, UK)
Kate Rohinshine (Microsoft,UK)
Mariana Damova (Mozajka, Bulgaria)
Marie-Christine Sawley (Exascale Lab, France)
Noor Shaker (GTN, UK)
Ulrike Tillmann (FRS, University of Oxford, UK)
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