LADE seminar by Mathieu Carrière (INRIA) “Topological Machine Learning with Applications in Computational Biology” 8 November at Area Science Park, Basovizza

[Quantitative Life Sciences]

Dear all,

Next week we have a LADE seminar by Mathieu Carrière (INRIA), talking 
about “Topological Machine Learning with Applications in Computational 
Biology”. Full info below.

Looking forward to seeing you all there,

Matteo Biagetti
matteo.biagetti at areasciencepark.it


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*Location*: Sala Sancrotti, Edificio Q2, Basovizza, SS 14, km 163,5, 
Trieste, 34149

*Time*: Wednesday 8th November, 11.30am

*Speaker*: Mathieu Carrière (INRIA)

*Title*: Topological Machine Learning with Applications in Computational 
Biology

*Abstract*: Topological Data Analysis (TDA) is a field of data science 
that is gathering increasing attention in the recent years, due to its 
ability to produce descriptors of topological flavor that (a) can be 
computed on a wide range of data sets, and (b) encode a unique type of 
information that is very useful yet missed by other standard 
descriptors. However, integration of such descriptors in standard 
machine learning pipelines is not straightforward, be it Mapper 
complexes or persistent homology. In this talk, I will present the main 
difficulties associated to the creation of topological machine learning 
pipelines, and then I will go over the various methods and solutions 
proposed over the recent years to handle these issues, including, e.g., 
topology-guided clustering and the representation of (multi-parameter) 
persistent homology. I will also illustrate these methods on a few 
applications from computational biology.







Erica Sarnataro
Group Secretary
Quantitative Life Sciences
The Abdus Salam International Centre for Theoretical Physics (ICTP)
Trieste,  Italy
Tel. +39-040-2240623
www.ictp.it/research/qls.aspx
e-mail:qls at ictp.it