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About

Brian Squadroni is a pharmacologist and laboratory automation specialist whose research sits at the intersection of drug discovery, infectious disease, and translational pharmacology. His work focuses on developing innovative automated experimental platforms to accelerate and improve the precision of pharmacokinetic/pharmacodynamic (PK/PD) modeling, with particular applications in HIV research and antibacterial drug development. Among his most notable contributions is the development of an automated platform for in vitro PK/PD modeling of HIV latency reversal using histone deacetylase inhibitors (HDACis), addressing one of the most persistent challenges in HIV eradication strategies. He has also pioneered a fully automated agar-based system for quantifying viable bacterial growth, significantly reducing the labor demands of dynamic antibacterial studies and improving reproducibility. Earlier work demonstrated his expertise in high-throughput screening automation through the development of platforms enabling fully automated cross-titration experiments, a critical tool in lead compound optimization. Each of his key publications has garnered 6 citations, reflecting a growing recognition of his methodological innovations. Squadroni's contributions are particularly valuable to researchers seeking to streamline drug discovery workflows and improve the translatability of in vitro findings to clinical settings.