Visiting scholar Daniel Lewis (Department of Geography, University College London) will be with us from 1/31/11 – 4/29/11 and will have office space in 3512 Phelps. Dan will be working with Keith Clarke and Mike Goodchild to conduct research on health and healthcare in the UK; researching the use of the Python programming language and its emergence as the primary language for new spatial methods; visiting ESRI’s Redlands headquarters; and generally strengthening research links between UCL Geography and spatial@ucsb.
Dan read Geography at the London School of Economics, focusing on Human Geography, Development Studies, and Research Methods. Having been awarded a BA in 2006, which developed an interest in GIS, Dan undertook an MSc in Geographic Information Science in the University College London’s Department of Civil, Environmental, and Geomatic Engineering.
Dan was awarded a distinction for his MSc, as well as the Hotine Exhibition award for his achievement. This led to Dan joining the UCL Department of Geography and CASA to undertake a PhD supervised by Paul Longley and Pablo Mateos. The PhD is an ESRC CASE award, working with Southwark Primary Care Trust, which aims to investigate the current spatial patterning of healthcare in Southwark through the lens of ongoing NHS policy considerations and changes. Dan was the ESRI Developer’s Centre Student of the Year for 2009. His interests include computational methods in GIS, classification, geovisualisation, and health & medical geography.
Dan’s blog can be found at www.danieljlewis.org, a research blog which details ongoing parts of his project, as well as other things of interest. This tends to include the application of the Python programming language to explicitly spatial problems, commentary on healthcare systems and ongoing reform, and issues related to the broader scope of Geographic Information Science.
Dan is involved with the Royal Geographical Society’s “Quantitative Methods Research Group” (QMRG) as the Postgraduate Representative, and he is also the Secretary of the Output Area Classification User Group (OACUG), which is a special interest group within the Royal Statistical Society (RSS). As well as being a part of the Centre for Advanced Spatial Analysis at UCL, Dan is a postgraduate fellow of the RGS, AAG, and RSAI (source).
