2011 - 2016 · D.Phil in Systems Approaches to Biomedical Sciences.
Department of Statistics – University of Oxford.
Thesis Title: Biologically inspired de novo protein structure prediction.
2009 - 2011 · M.Sc. in Bioinformatics.
Institute of Bioinformatics - University of Sao Paulo, Brazil.
Thesis Title: Development of an algorithm to find and characterize cavities in specific regions of 3D protein structures.
2005 - 2008 · B.Sc. in Molecular Sciences.
University of Sao Paulo, Brazil.
Dissertation Title: Antimalarial Drugs and Calcium Homeostasis in P. falciparum.
My main research interests are protein structure and folding. In particular, I want to elucidate how biological and structural features can mediate protein folding and function. I believe that protein informatics can be used to augment our biological knowledge. In turn, biology can be a source of inspiration to improve a multitude of computational methods such as structure prediction, protein docking, and molecular dynamics. I am also interested in applying protein informatics to optimize drug discovery pipelines.
de Oliveira SHP, Shi J, Deane CM. Sequential search leads to faster, more efficient fragment-based de novo protein structure prediction. In revision.
2017 - Present · Department of Statistics - Oxford, United Kingdom
Postdoctoral Researcher in Structural Bioinformatics
Development and benchmarking of novel structural bioinformatics software with applications to protein structure prediction.
2016 · UCB Pharma - Braine L'Alleud, Belgium
Postdoctoral Research Scientist
Benchmarked several state-of-the-art antibody modelling tools. The aim of this project was to identify an optimal strategy for producing high quality models of antibodies from sequence.
2012 · InhibOx - Oxford, United Kingdom
Developed a web-based Matched Molecular Pair (MMP) routine using Python Django and C for CUDA/GPUs.
2011 · YASARA - Vienna, Austria [remotely]
Initiated the implementation of a Molecular Dynamics routine for GPUs using OpenCL.
2009 - 2010 · Genoa Biotechnology Inc. - Sao Paulo, Brazil
Implemented OpenBravo ERP software for business and laboratorial management.
|Programming Languages||Server Management||Web Development|
|Advanced||C, Bash, Python, R||Shell Scripting, UNIX (Debian)||HTML5, CSS, Bootstrap, Python Django, MVC framework|
|Proficient||C++, Tcl/Tk, Ruby, Perl, C for CUDA, OpenCL||Windows, Red Hat||SQL (mySQL and PostgreSQL), Ruby on Rails.|
Address: Department of Statistics - University of Oxford, 24-29 St Giles, Oxford OX1 3LB