Lucas Mello Schnorr

Universidade Federal do Rio Grande do Sul UFRGS

Conference theme:

Reproducibility in Computational Experiments

Abstract:

Reproducibility in computational experiments is one of the pillars of modern science. In the area of computing, the description of experimental protocols, software detailing and data analysis is often lateral and rarely enables independent reproduction of results. Such gaps, if filled, can increase confidence in the results and improve the impact of our investigation report on the scientific community. In this talk, we will look at the concept of reproducibility through examples, how the scientific community is evolving its practices, philosophy and tools to make our research more reproducible and how computer science can help in this process. We will also visit some recent case studies.

Speaker biography:

Lucas Mello Schnorr holds a degree in Computer Science from the Federal University of Santa Maria (2003), a Master's in Computing from the Federal University of Rio Grande do Sul (2005), a PhD in Computing from the Federal University of Rio Grande do Sul (2009). Lucas has been a postdoctoral fellow at the Center National de la Recherche Scientifique (2011) and postdoctoral fellow at the Institut National de Recherche en Informatique et en Automatique (2017) in France. He is currently an Associate Professor at the Federal University of Rio Grande do Sul (Brazil) and advisor for the master and doctoral programs in the Graduate Program in Computing (maximum level of quality in the Brazilian CAPES assessment). He conducts research in an international environment cooperating with colleagues from around the world. He has experience in the field of Computer Science, with an emphasis on High Performance Computing Systems, Data Science, and Information Visualization. More information on the website inf.ufrgs.br/~schnorr/