LRHG - Lecture 21: The Importance of Checking Data & Results

November 08, 2023

On November 8th, CGC Tunis and Institut Pasteur de Tunis hosted the 21st LRHG lecture featuring Dr. Simon Heath, Head of Statistical Genomics at Centre Nacional d'Anàlisi Genòmica (CNAG), Barcelona, Spain, who delved into the critical aspects of a scientific study.

Dr. Heath expanded the discourse beyond conventional study planning, highlighting the often underestimated stages of quality control for input data and the critical evaluation of results. The lecture spotlighted the potential pitfalls of neglecting these steps, showcasing real-life case studies to underscore the impact of overlooking meticulous data verification. The audience gained valuable insights as Dr. Heath discussed crucial elements of these processes, offering a straightforward take on the necessity of meticulous data scrutiny for dependable and robust research outcomes.

For those who missed the live session, you can watch the full recording here.


More about the speaker:

Dr. Simon Heath leads the Bioinformatics Development and Statistical Genomics team and is the Manager of the Functional Genomics unit at the National Center for Genomic Analysis (CNAG), Barcelona, Spain.

He studied Zoology at the University of Oxford, and obtained his Ph.D. in Quantitative Genetics from the University of Edinburgh in 1995. From 1995 to 1997 he was a post-doctoral researcher in the Department of Statistics at the University of Washington, Seattle. In late 1997 he joined the Rockefeller University in New York as an Assistant Professor in the Laboratory of Statistical Genetics, later moving in 1999 to the Memorial Sloan-Kettering Cancer Center in New York as an Assistant Member. In 2001 he joined the Centre National de Génotypage (CNG) in Evry, France as a group leader in Statistical Genetics, and from 2007 to 2010 was the head of the Laboratory of Statistics and Informatics at the CNG. He is an author of more than 150 research papers, and has written publically available software for genetic analysis that is used in many centers worldwide.