PhD chemist and computer scientist with 30 years of applying machine learning to chemistry, from early neural networks (1996) to current LLM agent systems.
Profile
- As consultant: designs and implements AI and data solutions for chemical and pharmaceutical R&D, from concept and architecture to working prototype.
- As transformation lead: five years at Bayer AG (2020–2025) driving digital transformation across chemical development, from route scouting to transfer to production.
- Current: founder of PARAMUS, an MCP-based execution platform that lets AI agents run validated chemistry computations.
- Recognition: Bayer Science Fellow (2021), author of Data Science in Chemistry (De Gruyter, 2020), university lecturer (HU Berlin, 2022–2024).
Industries and engagement types
Industries: pharmaceuticals, specialty and bulk chemicals, crop science, banking and insurance (earlier career).
Typical engagements:
- AI strategy and use-case assessment for chemical/pharma R&D
- Architecture and prototyping of AI agents and data platforms in the lab
- Interim lead for digital transformation programs in chemical development
- Workshops, trainings and lectures on AI in chemistry
Du muss angemeldet sein, um einen Kommentar zu veröffentlichen.