Mathematics & Humanities and Social Sciences at IISER Pune are delighted  invite you to a talk on:

Time: 5:30 - 7:00 PM

Venue: LHC 101

Abstract:
Alan Turing (1912 – 1954) is best known for his work in the foundations of computing and his codebreaking activities. The last three years of his life were, however, devoted to the mathematical modelling of biological problems, and the question of the spontaneous emergence of biological structure.
In this lecture I will explain why Turing’s only publication on that subject (subsequently cited over 5,000 times) is not sufficient to understand the full extent of his thinking, and I will show how unpublished archive material contains the genesis of original ideas, lost and subsequently re-discovered, that have driven the last sixty years of work in the area.
It is also notable that Turing’s work was carried out separately from, and in parallel with, related developments in fluid mechanics.
The lecture will then bring the story up to date with examples of the unexpected complexity of these simple mathematical models, and their possible applications across the sciences.
 

About the Speaker:
Professor Jonathan Dawes is an applied mathematician with a wide range of experience in initiating and leading research projects and collaborations across disciplines. His research areas include dynamical systems, fluid and solid mechanics, and network science. He presents his academic research regularly in Europe, Latin America, India and China.
He completed his PhD at the University of Cambridge and held a number of positions there, including a Junior Research Fellowship at Trinity College, before moving to the University of Bath in 2009. From 2007 – 2015 he held a Royal Society University Research Fellowship.
He is Director of the Bath Institute for Mathematical Innovation (IMI), established in 2015 as one of only two University Research Institutes. IMI supports the mathematical sciences through the organisation of events, academic visitors, and undergraduate research internships, and develops collaborations between mathematicians, natural and social scientists, and external partners.