When
Where
Presenter: Dr. Aivett Bilbao Peña
Host: Dr. Amy Graham
Abstract:
Software is a crucial component to efficiently interpret the large amounts of experimental data produced in high-throughput global mass spectrometry-based studies. In this seminar, I will discuss my research work developing algorithms and computational tools for supporting proteomics and metabolomics molecular characterization, working directly with chemists and biologists in interdisciplinary teams. Specifically, data processing methods for complex multidimensional data generated by mass spectrometry combined with liquid chromatography and/or ion mobility spectrometry separations.
Results from development and investigation of algorithms to improve the performance of detection and quantification of biomolecules using different techniques, including traditional signal processing and machine learning methods, will be presented. Finally, current efforts to develop advanced artificial intelligence-based multi-omics tools will be outlined.