Welcome to the Laboratory of Multi-omic Integrative Bioinformatics (LMIB)
Modern life science research is a highly multidisciplinary endeavor often requiring the joint analysis of highly heterogeneous data sources, such as large-scale single-cell multi-omics datasets, structured ontology-driven annotations, unstructured published literature and imaging data. Using a holistic approach, one can often detect patterns which provide deeper insights into the biological and/or pathophysiological processes under study. However, such data analysis approaches are complex when dealing with heterogeneous and highly dimensional datasets. By leveraging breakthrough advances in the fields of artificial intelligence and statistical modelling, our group aims to develop novel computational methodologies for data fusion and pattern recognition and apply them to further our understanding of human disease.
Highlights
Our Research
We use machine learning to answer important questions in large-scale multi-omics biology and medicine. In all of our research, we prioritize transparency, rigor, and reproducibility.
Our Projects
We work on cutting-edge projects focusing on multi-omics integration and subcellular localization.
Our Team
We are a team of enthusiastic researchers from all walks of life that want to push the frontier of bioinformatics. We strive to build an inclusive and collaborative environment for research.