My Projects

Novartis Projects

As Global Head of Data Science and AI, Sander leads teams building Digital Twins, Agentic Systems, and Decision Intelligence to accelerate drug development across the innovative Novartis pipeline.

• NeurIPS 2026 Keynote & Workshop: World Models for High-Stakes Health (WMHS) in Atlanta.
• Multi-Agent Quality Control: Vision-Language multi-agent architectures automating high-stakes pharmaceutical inspection.

GSK Projects (2019–2026)

Led the development of TwinOps and AIGA platforms, building GxP-compliant bioprocess digital twins that achieved +20% yield and pioneering physical AI for global manufacturing sites.

• Databricks Keynote (2024): Data + AI Summit San Francisco on scaling biomanufacturing digital twins.
• Weights & Biases Case Study (2025): Building a Registry of Truth for Global AI Ops and The Era of Physical AI.
• TwinOps Framework: Operationalizing digital twins from experiment to GxP validation.

Microsoft Projects (2015–2019)

Developed AI strategy for pharma and healthcare. Public articles on machine learning pipelines and Azure architectures:

• Evaluating Machine Learning models when dealing with imbalanced classes
• Using Azure Machine Learning Notebook for quality control

Publications & Scientific Research

Direct PDF copies of peer-reviewed papers, preprints, and dissertation are hosted locally for open academic access and automated AI ingestion.