Ulrike Tillmann (Turing Fellow and University of Oxford, UK)
Prof. Ulrike Tillmann FRS has been at the University of Oxford since 1992. She is an algebraic topologist, known in particular for her work on Riemann surfaces and the homology of their moduli spaces. She has long standing research interest in homology stability questions. In 2011 she introduced an annual course (with Abramsky) in Computational Algebraic Topology at masters level. In the last year, Tillmann has co-organized four workshops on topological data analysis, as well as an CMI-LMS research school.
She held an EPSRC Advanced Fellowship 1997-2003. She was invited to present at the ICM in 2002 and was a member of the topology subject panel for both the 2010 and 2014 ICMs. In 2008 she was made a Fellow of the Royal Society and received the Bessel Forschungspreis from the Humboldt Gesellschaft. She is an inaugural Fellow of the AMS.
Title:
The shape of data
Abstract:
The abundance of data poses new challenges. In this talk I will explain how topology, a branch of abstract mathematics, can help to extract new information and get a deeper understanding.
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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