Dr Dylan Childs
Tel: +44 (0)114 222 4313
Fax: +44 (0)114 222 0002
Email : email@example.com
NERC Postdoctoral Fellow, Sheffield University (2008 - present)
Leverhulme Early Career Fellow, Sheffield University (2006 - 2008)
Welcome Funded PDRA, Sheffield University (2005 - 2006)
Equities Trader, Circe Trading (2003 - 2005)
PhD Population Biology, Imperial College (1999 - 2003)
Key Research Interests
Life history theory – Characterising optimal reproductive strategies and components of selection in free-living populations.
Evolutionary demography – Application of evolutionary game theory (aka adaptive dynamics) to long-term demographic datasets.
Structured population modelling – Construction / parameterisation of accurate demographic models (e.g. integral projection models).
Host-parasite dynamics – Exploring the impact of environmental variation on dynamics (e.g. seasonal forcing in malaria)
Dr Dylan Childs is an Independent Research Fellow and Lecturer. He is a member of the graduate committee and acts as an employer liaison within the department to build ties between APS and local and national employers.
My approach to teaching and supervision of students is to convey my enthusiasm for population biology and evolutionary ecology and to use research-led, biologically interesting examples to give students a thorough grounding in key concepts. In the recent past I have taught on APS123 (Introduction to Population and Community Ecology) at level 1 and APS273 (Advanced Population and Community Ecology) at level 2. These modules reflect my interests in how ecological processes shape the life history, population dynamics and evolution of species.
At level 3 I currently teach on APS 342 (Evolutionary Ecology) and I supervise projects (APS330) in population biology and life history, using both theoretical and empirical approaches. I strongly believe that learning the basic tools for independent research is essential for undergraduate students, and I always encourage my students to try new methods of data analysis and quantitative reasoning.