Proteomics and Machine Learning

Machine Learning plays an increasingly important role in data intensive sciences such as proteomics. This workshop will focus on models predicting experimental proteomics data that address important unmet needs in experimental design, quality control and algorithm benchmarking. We will also discuss risks such models may be misused, and how to mitigate these risks.