معرفی
Christian Sköld is an Associate Professor at Uppsala University's Department of Medicinal Chemistry; Drug Design and Discovery. His academic training includes a Master of Science in Chemical Engineering (pharmaceutical profile), a PhD, and an Associate Professor (docent) title.
His research focuses on two primary areas: 1) developing computational methods for medicinal chemistry and drug discovery projects, and 2) identifying chemical starting points for drug development using computer-aided design and multivariate analysis. His work also involves theoretical investigations of reaction mechanisms in pharmaceutical chemistry to improve reaction protocols.
Sköld's recent publications (2024–2014) span topics like macrocyclic systems, machine learning in catalysis, palladium-catalyzed reactions, and drug design. His studies highlight contributions to medicinal chemistry methodologies, reaction selectivity, and ligand development for biological targets like AT2 receptors and CRTH2.
His work has been published in high-impact journals such as Chemical Science, Journal of the American Chemical Society, and Nature Reviews Chemistry. Notable projects include evaluating gem-difluorination effects on macrocycles and predicting catalytic selectivity using hybrid machine learning approaches.
