Thomas is a partner in our Geneva office. He serves pharmaceutical, vaccine, and biotech companies on R&D transformations across a wide range of topics, including innovation, portfolio strategy, operations, and execution. He works extensively with clients on maximizing the value of AI at scale across the value chain to build closed-loop systems in research and change clinical development paradigms to more effectively and efficiently get treatments to patients. Thomas also serves healthcare technology players and investors on a range of topics across the investment life cycle, including on data-driven search and evaluation and AI-based business building.
Recent examples of his work include:
- leading a large-scale clinical development transformation to improve operational performance in study design and execution for a global pharmaco
- building an analytics platform to emulate target clinical trials in oncology and inform clinical trial design (e.g., stratification, inclusion/exclusion criteria) for five Ph1 assets of a global pharmaco
- orchestrating the end-to-end build of an AI-enabled closed-loop research system for lead optimization in a novel modality, driving novel scientific approaches and insights and bringing over three assets to clinical trial
- designing and building an industrialized analytics capability to support indication selection in early stage clinical programs
- defining the 2030 corporate strategy for the board of a top-ten pharmaco, focusing on the enterprise portfolio and R&D innovation model
Before joining McKinsey, Thomas researched computational systems biology using systems-based methods for time series clustering at the KU Leuven and ETH Zurich. In his spare time, he enjoys skiing and hiking with his spouse, family, and friends.
