Joseph S Brown is a Staff Scientist in the Medicinal Chemistry Self-Driving Lab working to apply the self-driving lab concept to the exploration of chemical space for the discovery and development of therapeutics. Joe completed his PhD in Chemical and Biomolecular Engineering at Cornell University with Chris Alabi. As a National Science Foundation Graduate Fellow, Joe performed molecular engineering (medicinal chemistry for meso-scale biomaterials) from organic synthesis to biological characterization of antimicrobial oligomers, including mechanism of action and structure-activity relationships. Joe then completed his postdoctoral work in Chemistry at the Massachusetts Institute of Technology with Bradley Pentelute. As a PhRMA Drug Discovery Fellow, Joe performed ligand discovery using various types of affinity selection combined with machine learning for hit generation. Though he led projects in phage display, medicinal chemistry, and the automated flow synthesis of proteins, Joe specialized in the combination of machine learning (deep and unsupervised) with affinity selection-mass spectrometry (AS-MS) as a data generation tool to isolate high-affinity ligands from designer peptide and abiotic peptidomimetic libraries.