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Miss Andrea Lisette Aparicio Castro
Miss Andrea Lisette Aparicio Castro profile picture
  • Associate Lecturer (Teaching) in Data Science/ Social Statistics/ Biostatistics
  • Population, Policy & Practice Dept
  • UCL GOS Institute of Child Health
  • Faculty of Pop Health Sciences

I completed the MSc in Social Research Methods and Statistics (SRMS) at the University of Machester (UoM) and a Postgraduate Diploma in Statistics at the National University of Colombia (UN, by its acronym in Spanish). After this, I started my PhD in Social Statistics. I modelled and forecasted South America's spatial and temporal patterns of bilateral international migration flows by integrating different data sources and using Bayesian longitudinal and hierarchical modelling.

Research Summary

My academic and professional career has focused on modelling and forecasting demographic events, particularly migration. I am interested in Bayesian statistics, integrating different data sources and hierarchical modelling. Additionally, I have experience applying quantitative methodologies to other topics in Social Sciences, including the assessment of the health and economic impacts of COVID-19 on Ethnic Minorities and the estimation of the length of Stay in ICU of Covid-19 Patients in England.

Teaching Summary

I have extensive teaching statistics experience, which started as a Teaching Assistant (TA) at the UN in 2014 while studying for my Specialisation in Statistics (Postgraduate Diploma). I led a Quantitative Methods course offered to undergraduates in Sociology. I further gained teaching experience as a specialised teacher at the Colombian War College and the Military University of New Granada in 2016. I led a course on Research Methods and Statistics with an audience of Colonels to be promoted to Generals by that time.

After completing my MSc in SRMS and enrolling in the PhD program in Social Statistics at the UoM in September 2018, I had the opportunity to widen my teaching experience in three roles. My first role was as a TA in undergraduate and postgraduate modules at the UoM since 2018. Modules included Statistical foundations, Longitudinal Analysis, Demographic Forecasting, Econometrics, Theory & Method in Demography, and Changing Social Attitudes. The second role that enlarged my teaching experience was acting as a TA for various short courses offered by the CMI since the 2018/2019 academic year. The short courses I was involved in comprised Multilevel modelling, Longitudinal Analysis, Introduction to Data Analysis, and Introduction to R. The CMI courses aim at academics and non-academics from other universities, government institutions, the voluntary sector, and industry. The third role that extended my teaching experience was performing as a learning support Research Assistant in the Q-step centre based at the UoM since September 2018. My role in the Q-step centre involved acting as a personal tutor for postgraduate and undergraduate students who needed help applying quantitative methods in their dissertations and while completing their modules. As part of my participation in the Q-step helpdesk programme, I also acted as the link between the Nuffield Foundation and the University of Manchester to set up the Nuffield Research summer Placements carried out in 2021 at the UoM.

  Associate Lecturer (Teaching) in Data Science/ Social Statis   UCL, United Kingdom
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