Se invita a la charla “Meta-analytical informatics: lessons learned

Se invita a la charla “Meta-analytical informatics: lessons learned

Se invita a la charla “Meta-analytical informatics: lessons learned”
dictada por Dr. Siu-Wai Leung - University of Macau, China
Martes 15 de Diciembre 14:30 hrs. – sala IBC 2-1
Escuela de Ingeniería Informática - PUCV
Abstract:
Meta-analysis method has been extensively used for synthesising evidence from multiple
studies on biomedical sciences, e.g. determining the effectiveness of treatments or
technologies, detecting biased decisions, and supporting evidence-based medicine
practices. However, as already found in evidence-based medicine which uses metaanalysis for finding the best scientific evidence, current meta-analytical studies are often
not up-to-date and not bias/error-free. More experimental studies (not only surveys and
observational studies) and new forms of meta-analysis are expected in further research in
other fields including computer sciences (e.g. software engineering). This talk will provide
a brief overview of the current practice of meta-analysis and demand for a new computing
infrastructure with executable protocols, distributed processing, automated reasoning,
and open social collaboration.
Bio:
Siu-Wai Leung is the Director of a new biomedical research initiative in The University of Macau
(where he is also a member of faculty). He is also researcher of a joint research collaboration
between the UK and universities in Hong Kong and Macao on biomedical informatics, focusing on
automated experimentation methods. Dr. Leung obtained his Informatics MSc and PhD from
Edinburgh (plus a MPhil in biochemistry from the Chinese University of Hong Kong) and spent four
years at University of Edinburgh as a research fellow. Before this, he was the acting head of the
Chinese Medicine Informatics Centre at Hong Kong Baptist University. He also has substantial
industrial experience, having been head of data processing and IT in China for ACNielsen (at that
time the biggest market research company internationally). His personal research includes
computational synthesis for automating experiment design (with applications to clinical trials) and
automated e-Research methods for evidence-based medicine (with applications to systematic
reviewing).