Project Description
Develop and apply new algorithms and machine learning methods for analyzing proteomic data and integrating multi-omics data (including genomics, transcriptome, other MS data like metabolomics and lipidomics, and metagnomics).
Research Classification
- Bioinformatics
- Neurosciences, biological and chemical aspects
Research Interests
- Bioinformatics
- Computational Biology
- Machine Learning
Research Methodology
- Bioinformatics, machine learning, mass spectrometry, multi-omic data integration
Faculty
Faculty of Medicine