Dr Jeremiah Nieves PhD
Lecturer in Data and Human Geography Geography and Planning
- Work email J.J.Nieves@liverpool.ac.uk
- Personal Websitehttps://www.researchgate.net/profile/Jeremiah-Nieves
About
Personal Statement
In 2013, I earned my BS in Applied Geography conc. GIS at the University of Louisville, Kentucky, USA. I then completed most of a Masters in public health prior to transferring in 2014 to focus more on spatial analytical approaches to populations, health, and environment. In 2016 I obtained a Masters in Geography from the University of Louisville during which I concentrated in remote sensing, machine learning, and population modelling methods. Between 2016 and 2020, I was funded under an Economic and Social Research Council Doctoral Training Programme at the University of Southampton, Southampton, UK. I was awarded my PhD in 2020 for my dissertation on a globally applicable settlement growth model.
From 2014 through 2020, I was a researcher with the WorldPop research group (www.worldpop.org) where I had a strong role in matters relating to urban data applications, population modelling methods, geospatial data infrastructure, programmatic workflows, and data production. Additionally, during this time, I worked with various international governments; NGO groups such as the WorldBank, IDRC, and UNFPA; and community, private, and public stakeholders on applied project and grant proposals. At the end of 2020, I began a brief post-doc with the University of Colorado Boulder's Population Center before taking a lectureship at the Geographic Data Science Lab (GDSL) at the University of Liverpool's department of Geography and Planning.
In general, I am a quantitative human geographer focused on integrated modeling and spatio-temporal analyses of the human-environment interface. More specific topics of interest are: urban systems, settlement and population dynamics, settlement connectivity & transportation, remote sensing, machine learning and knowledge generation, environmental health and social inequities, network analysis, Bayesian modelling, demography, high volume data applications, public health, and open and replicable research.
Outside of work, I can often be found hiking, rock climbing, and crafting in various media.