Associate Professor Douglas Pires is highly experienced in developing state-of-the-art machine learning applications for bioinformatics and cheminformatics to support and enhance biomedical and biological research.

He is particularly interested in using structural bioinformatics to understand how mutations can affect protein structure and function, leading to different phenotypes. He also has an outstanding track-record in developing machine learning applications for drug discovery and to leverage data at scale.