Seminar by Dr. Bastian Rieck (ETH Zurich)

Title: Multi-Scale Representations of Life

Abstract:

Numerous phenomena in real-world data require a multi-scale perspective.
Often, there is not just one single scale that is sufficient to
faithfully represent a data set. Shifting from an 'either--or' selection
of relevant scales to a 'both--and' utilisation of all scales results in
novel insights and improved expressive power. Topological data analysis
recently emerged as an effective tool for obtaining such multi-scale
perspectives of real-world data sets. This talk will focus on learning
appropriate topological representations for structured and unstructured
data sets, with a particular focus on applications in the life sciences.

Bio:

Bastian Rieck is a senior assistant in the Machine Learning and
Computational Biology Lab of Prof. Dr. Karsten Borgwardt at ETH Zurich.
His main research interests are algorithms for graph classification and
time series analysis, with a focus on personalised medicine. Bastian is
also enticed by finding new ways to explain neural networks using
concepts from algebraic and differential topology. He is a big proponent
of scientific outreach and enjoys blogging about his research, academia,
supervision, and software development. Bastian received his M.Sc. degree
in mathematics, as well as his Ph.D. in computer science, from
Heidelberg University in Germany.