Coffee with Latin America - Big data and innovative ways of data generation for research
Join us to discuss ‘Big data and innovative ways of data generation for research’ in the first webinar of 'Coffee with Latin America' series.
Panellists will share perspectives across different regions, help identify unique challenges and solutions for discussion.
The format is quite informal. Each panellist will speak for 10 minutes, and then there will be 5 minutes for questions and discussion with the audience.
This series aims to facilitating global collaboration and learning, provide an opportunity for outreach and connection with the global health community.
The webinar will be relevant for entire global health community, especially useful to researchers and policy makers with interest in health systems strengthening and health systems research.
Maoyi Tian is a senior research fellow working in The George Institute China.
His main research focus is using mobile health and health technology for chronic disease management and prevention in the primary care setting, particularly the integration of the mobile health or health technology into the existing health care system.
Cauane Blumenberg is a Data Scientist with BSc (Catholic University of Pelotas) and MSc (Federal University of Rio Grande do Sul) in Computer Science and a PhD (Federal University of Pelotas) in Epidemiology. He currently works at the Centre for Global Child Health at the Sick Kids Hospital (Canada) and at the Centre for Equity in Health (Brazil). He coordinates the coortesnaweb project, and its research interests are focused on applying data science features to investigate health-related outcomes.
Carinna Hockham is a post-doctoral researcher at The George Institute for Global Health (TGI), Imperial College London. Her research involves the use of linked routinely-collected data to examine a range of epidemiological questions relating to chronic kidney disease and diabetes. Having recently joined the Global Women’s Health Program at TGI, Carinna’s research will now focus on the investigation of sex- and gender-based differences in chronic kidney disease risk factors, outcomes and clinical management.
Miguel Paredes Executive Vice President and Chief AI & Data Officer (CDAIO) at Rimac Seguros y Reaseguros. Miguel’s specialities include Machine Learning, Analytics, Data Science, A/B testing, Discrete Choice Analysis, Causal Inference, Econometrics, Big Data, Optimization, Simulation and Monte Carlo statistical techniques, Real Options and Flexible Engineering Design, Decision and Risk Analysis, Project Appraisal, Process Engineering, and Impact Evaluation (Randomized Control Trials).
Sanne Peters is a Research Fellow in Epidemiology at The George Institute for Global Health and a Senior Lecturer, Faculty of Medicine, Imperial College of London. She is also Speciality Chief Editor for 'Sex and Gender Differences in Disease' in the Frontiers in Global Women's Health journal. Her research is primarily focused on the determination and quantification of major and modifiable risk factors for chronic diseases and how these associations may differ between women and men.