AI | Drug Discovery | External Innovation
I work at the intersection of artificial intelligence, human data, and pharmaceutical R&D, identifying technologies and partnerships that accelerate therapeutic discovery and improve scientific decision-making.
Currently focused on:
- AI for drug discovery and development
- Biology foundation models and predictive biology
- Human and multimodal biomedical data
- Scientific knowledge generation
- Technology intelligence and external innovation
- Venture, partnership, and ecosystem strategy
AI Agents • Foundation Models • Computational Biology • Genomics • Virtual Cells • Knowledge Graphs • Causal AI • R&D Decision Intelligence
The future of drug discovery will emerge from the convergence of human data, predictive biology, artificial intelligence, and automated experimentation.

