Ion mobility spectrometry is a gas-phase separation technique that enables the resolution of molecular species prior to reaching the mass spectrometer. It is also used as a standalone technique for detection of explosives, narcotics and other chemicals of concern. In our group, we focus on the use of ion mobility spectrometry as a means of adding a new dimension to mass spectrometry experiments, and improve separations in metabolomics. Ion mobility spectrometry can also be used to help identify metabolites and lipids by the use of collision cross section (CCS) values from databases. Because these databases are typically not yet complete, we are also working on machine learning algorithms to predict such CCS values as an aid in CCS prediction.