Coffee with Latin America - Big data and innovative ways of data generation for research.

Join us for a webinar on ‘Big data and innovative ways of data generation for research’ in the first webinar of 'Coffee with Latin America' series.

The webinar will provide a starting point for online conversations on the importance of big data and innovative ways to generate data for research. The current pandemic too has highlighted the need for researchers to find ground-breaking and innovative ways that generate data irrespective of which country one is from.

Panellists will share perspectives across different regions, help identify unique challenges and solutions for discussion.

Register now!

Chair

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.

Panellists

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 an early career research fellow in the Renal & Metabolic Division and Conjoint Lecturer at the University of New South Wales.

Carinna’s research involves the use of real-world linked data to examine a range of epidemiological questions relating to chronic kidney disease, diabetes and the cardiovascular complications associated with both. She is the Study Director of EXTEND45, a large-scale linked cohort study in New South Wales. In addition, Carinna uses novel trial methodologies, including adaptive design, to improve health outcomes in people with chronic disease.

Miguel Paredes is the 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.

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The George Institute for Global Health · Level 5, 1 King Street · Newtown, NSW 2042 · Australia