We calculated wealth-related inequalities in the prevalence of five health outcomes by calculating the concentration index (CI) and horizontal index (HI). Socioeconomic status was based on a wealth index. Analyses were based on crosssectional data from the 2013 Brazilian National Health Survey and the 2012 Mexican National Health and Nutrition Survey. Prior to his current position, he worked as Lecturer in Foundations of Pervasive Data Science at Lancaster University, UK.This chapter assesses the magnitude of wealth-related inequalities on five health outcomes (obesity, abdominal obesity, diabetes, hypertension, and heart disease) among older adults in Brazil and Mexico. He received his MSc in Computer Science in 2006 from University of Helsinki and his Doctor of Philosophy in 2009 from University of Helsinki, Finland. At the University of Helsinki, he currently leads the Pervasive Data Science research group. Petteri Nurmi is an Associate Professor in Distributed Systems and Internet of Things in the Department of Computer Science at University of Helsinki since September 2018. His research interests span from Bayesian statistics and machine learning to environmental and ecological sciences. He leads Environmental and Ecological Statistics group and is one of the PIs in the Research Center for Ecological Change. Jarno Vanhatalo is an assistant professor of statistics working both in the Department of Mathematics and Statistics (Faculty of Science) and Organismal and Evolutionary Biology Research Program (Faculty of Biological and Environmental Sciences). We have a record of successful research collaborations working together with clinicians and experimentalists." My group works collaboratively and across different scientific disciplines. Our work is basic science that can lead to applications relevant to human health, for example, in the context of cancer and infectious disease and evolution of drug resistance.
We also develop bioinformatic algorithms needed to analyse big biological data sets. In particular, I try to understand how predictable evolution is and how and to what extent evolving populations can be controlled. I develop evolutionary theory and its applications to solve problems such as drug resistance. I first worked at the University of Cologne, Germany, for five years and then lead my own research group at the Wellcome Sanger Institute, Cambridge, UK, for seven years. After completing a doctorate in statistical physics, (DPhil 2005, University of Oxford, UK) I started to explore biological data. Professor Ville Mustonen, University of Helsinki: "I work at the Organismal and Evolutionary Biology Research Programme, Department of Computer Science, Institute of Biotechnology and Helsinki Institute for Information Technology (HIIT). Please notice that we take all questions after all the presentations.
Keynote: How Pharma Bring Complex Data to Wellbeing, Nadia Tamminen, Senior Advisor in Pharma Industry Finland.Keynote: Teemu Kurppa, CTO Software, Oura.Introduction of HiLIFE, Director Olli Silvennoinen.Introduction of HiDATA, Director Sasu Tarkoma.Programme: 9:00 Programme starts Opening words, moderator Jonna Katajisto, HiLIFE
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