(Bilevel) optimization, data analysis and forecasting
     Southampton, 3 - 4 July, 2017

Mahesan Niranjan is Professor of Electronics and Computer Science at the University of Southampton. Prior to his appointment here in 2008, he has held faculty appointments at the Universities of Sheffield and Cambridge. He has a long track record of research in Machine Learning and has worked on the algorithmic and applied aspects of the subject. More information at: http://www.ecs.soton.ac.uk/people/mn

TITLE OF TALK: Machine Learning and Computational Biology

ABSTRACT: Machine learning is about extracting useful information from large and complex datasets, and the subject is a rich mixture of statistical inference, function approximation, dynamical systems and distributed computing. Nowadays, molecular biology is a fascinating source of challenging problems for machine learning, triggering the search for new methodologies as well as playing a useful role in analysing biological data. In this talk I will give an overview of some biological problems of interest, including the regulation of cellular protein levels and inferences we can make from high throughput measurements, parameter estimation and sensitivity analysis relating to systems-level modelling, and regulation during development.

School of Mathematical Sciences, University of Southampton