Gregorio Alanis-Lobato, MSc, PhD
Global Computational Biology and Digital Sciences
Gregorio Alanis-Lobato obtained his MSc in Computer Science and his PhD in Computational Biology at KAUST developing methods to predict protein-protein interactions based on the topological structure of experimentally-derived networks. Then, he moved to the Johannes Gutenberg University in Mainz, Germany to continue his research on this topic as a postdoctoral fellow and to enhance the functionality of HIPPIE, a webtool to construct reliable and context-specific human protein networks. This was followed by a second postdoc at the Francis Crick Institute in London, where he worked on the integration of different single-cell omics data modalities for the construction of gene regulatory networks in early human embryos. In addition, he developed computational pipelines to assess whether CRISPR-Cas9-targeted human preimplantation embryos had unintended on-target mutations based on single-cell genomics and transcriptomics datasets. Gregorio joined BI in late 2020 to support pre-clinical research for the CNS Diseases and Research Beyond Borders therapeutic areas with his expertise in omics data analysis and integration.
Google Scholar: https://scholar.google.com/citations?user=nAGRhSEAAAAJ&hl=en