Automatic detection of genetic oscillators Developing data analytics for high-throughput single-cell experimental data to aid better understanding of stem cells
Analysis of jointly embedded cyber-security graphs Developing statistical theory and methodology for combining information from different networks to uncover malicious activity
Topological hierarchies in complex image data Developing new techniques for understanding complex image data to enable and advance biological discovery
Geometry and topology of complex interconnected systems Understanding the structure of complicated datasets to verify hypotheses and predictions about them
Scalable topological data analysis Developing software that enables meaningful conclusions to be drawn from the shape of massive, noisy, and potentially incomplete datasets
Free energy landscapes for big data Deriving efficient algorithms by understanding the natural geometric structure of data landscapes arising in machine learning
Mathematics and data Thursday 12 Sep 2019 Time: 10:00 - 18:00 Alexander Gorban Chaim Even-Zohar Felipe Rincon Ginestra Bianconi John Oprea Nati Linial Shay Moran
Geospatial Standards for Data Science Tuesday 12 Mar 2019 Time: 14:30 - 17:30 Dr Paul Cripps Dr. Gobe Hobona
Short Talks: Bayesian models for sparse regression analysis, Topological data analysis and Monte Carlo Algorithms Thursday 09 Mar 2017 Time: 17:37
Topological Data Analysis (TDA) – Theory, Computation and Application (Oxford) & The Persistence of topology in big data analysis (Edinburgh) Thursday 10 Sep 2015 - Friday 11 Sep 2015 Time: 18:37
A probabilistic algorithm for the secant defect of Grassmann varieties In this paper we study the higher secant varieties of Grassmann varieties in relation... McGillivray, B. (2006). A probabilistic algorithm for the secant defect of Grassmann varieties. Linear Algebra and its Applications , vol. 418(2-3)
A roadmap for the computation of persistent homology Persistent homology (PH) is a method used in topological data analysis (TDA) to study... N Otter, MA Porter, U Tillmann, P Grindrod, HA Harrington, EPJ Data Science, 6:17 (2017)
Topology and geometry for data How can describing the shape of noisy and potentially incomplete data help us to analyse it?