Industry Experience

Driving data science initiatives in pharmaceutical manufacturing with focus on GxP-compliant ML systems:

• AI / ML and Generative AI: Production-grade systems for process optimization and quality control
• Team Leadership: Leading postdoctoral researchers and master students through KTH collaborations
• Research Integration: Publishing peer-reviewed research while delivering production impact

Impact: Bridging cutting-edge ML research with regulatory requirements in pharmaceutical manufacturing

Research

Research Interests

• Active Matter & Complex system
• Stochastic Processes in ML
• Computational Physics & Numerical Methods
• Deep Learning Theory
• Physics-Informed Machine Learning
• Production ML in Regulated Environments

Collaborations

• Supervision of postdoctoral researchers through KTH partnerships
• International research network across France, Germany, and Sweden (Max Planck Society, NORDITA, KTH, Stockholm University, Inria)