Thomas Liphardt | Lead Data Products Chemistry
Idorsia Pharmaceuticals Ltd

Thomas is a computational scientist specializing in cheminformatics, computational chemistry, and data-driven drug discovery. He studied Computer Science at ETH Zürich, focusing on Theoretical Computer Science in his Master’s, before completing a PhD in Computational Statistics and Metabolomics at the Department of Biosystems Science and Engineering (D-BSSE) of ETH Zürich. In 2019, he joined Idorsia’s Scientific Computing research group, initially working on cheminformatics and computational chemistry under the leadership of Thomas Sander. He has led various projects, including the development of cloud-based virtual screening infrastructure and novel methods for screening ultralarge combinatorial library spaces. He later joined the Data Engineering team to redesign data analysis workflows in medicinal chemistry. Since 2024, he has been leading the Data Products Chemistry team at Idorsia, focusing on cheminformatics, efficient medicinal chemistry data analysis, predictive modeling, and deep learning approaches for drug discovery.