ÁLVARO PASSI-SOLAR

PROFILE SUMMARY

I am a pharmacist and epidemiologist. I work as a PhD (c) researcher at the Department of Epidemiology & Public Health, UCL, UK and as a Fellow researcher, at the Department of Public Health, School of Medicine, Pontificia Universidad Católica de Chile.

My PhD research is about trends in socioeconomic inequalities in health care access using data from national health surveys (complex samples). As a fellow researcher, I work in collaboration with clinicians and other researchers in the COVID-19 epidemic. I teach statistics to undergrad and postgraduate students.

I am a big fan of R.

Contact information

	Department of Epidemiology & Public Health, UCL, UK
	Alvaro.passi.17@ucl.ac.uk
	Linkedin
	Arpassi
	Scholar
	Passi.netlify.app/

EDUCATION

Oct 2017 – Oct 2021	University College of London, Research Department of Epidemiology & Public Health, School of Medicine, PhD researcher in Epidemiology and Public health. Awarded with a full scholarship, CONICYT Becas Chile. Dissertation title: Socioeconomic inequalities in the management of hypertension: Chilean National Health Surveys 2003, 2010 and 2017
Mar 2012 – Aug 2014	Pontificia Universidad Católica de Chile, Department of Public Health, School of Medicine, Master’s degree in Epidemiology. August 2014. Scholarship from the Pontificia Universidad Católica de Chile. Rank: N° 1 out of 9 graduates. Dissertation title: Blood pressure control among the treated hypertensive population: Chilean National Health Survey 2010
Mar 2005 – May 2011	Pontificia Universidad Católica de Chile, Department of Pharmacy, School of Chemistry, Degree of Chemist and Pharmacist. May 2011, rank: N° 2 out of 65 graduates. Dissertation title: Inappropriate medication use among Chilean older people: Chilean National Health Survey 2010

MAIN WORK EXPERIENCE

Jan 2021-Present	Personal tutoring at University College London for Introduction to Quantitative Research Methods, including practicals sessions with R
Oct 2020-Present	Personal tutoring at Pontificia Universidad Católica de Chile for Health Surveys, including practicals sessions with R
Jan 2018-Present	Personal tutoring at University College London for Epidemiology and Basic Statistics, including practicals sessions with Stata
Jan 2019-Present	Fellow researcher at the Pontificia Universidad Católica de Chile, Department of Public Health, School of Medicine. Currently researching the epidemiological profile of COVID-19 in Chile and within workers at the National Copper Corporation of Chile. I built a platform to display the epidemiological profile of this virus in Chile, using R, Rmarkdown, Shiny, and Hugo (https://datacovid-dsp-uc.netlify.app/)
Dec 2015-Sept 2017	Technical coordinator of the III Chilean National Health Survey 2016-2017 / School of Medicine, Pontificia Universidad Católica de Chile/ Santiago, Chile. Director Dr. Paula Margozzini.
Mar 2014-Oct 2015	Project manager, fieldwork coordinator and data manager of the population-based cohort of Maule (MAUCO)/ School of Medicine, Pontificia Universidad Católica de Chile /Santiago, Chile. Director Dr. Catterina Ferreccio.

TECHNICAL SKILLS

Software	Skills	Libraries/modules
R	Programming, data analysis and visualisation: Experienced in statistical analysis with different types of health data (e.g. complex data, longitudinal design, daily updated COVID-19 data )	tydiverse (ggplot2, dplyr, tidyr…), lubridate, survey and srvyr, shiny, surveillance
	Import and export data in different formats (csv, dta, sva, rda…). Extract data (tables, images, text) from pdf, word files and websites	haven, rio, magick, pdftools, png
	Reproducible research using R + LaTeX + HTML. Reports in different formats (word, pptx, pdf, HTML)	hugo, blogdown, Rmarkdown, knitr, captioner
	Use of spacial objects (shapefiles) and plotting maps with attributes (chloropleth plots)	rgdal, broom
	Run Stata codes inside R and extract the results	rstata
	Tabulate data for publication	DT, kableExtra, huxtable, flextable
	Teaching experience with basic and intermediate users	rstudio cloud, rstudio server
	Web development	HTML, CSS, Hugo, blogdown, GitHub Pages, Netlify
Stata and SPSS	Experienced in data manipulation and data analysis, particularly with complex design data	svy
	Teaching experience with basic and intermediate users
Python	Basic use	Numpy, pandas, shapefile, matplotlib.pyplot, seaborn, geopandas