Currently

Working at GSK on drug discovery, since 2021.

I develop machine learning tools to analyze and process high-dimensional, multi-modal high-throughput experimental data, unlocking insights and driving innovation in preclinical drug discovery. I am building foundational models designed to enable robust, accurate, and interpretable identification of genetic targets critical for understanding and treating diseases.

Previously

Interests

  • Problem-oriented R&D of AI/ML methodology with measurable societal impact.
  • Foundational models for multi-modal and high-dimensional data.
  • Meticulous, viable, clean, re-usable software development – I expect engineering to be of central importance in most major advances that are yet to come in AI/ML.
  • Organizing and taking large projects from concept to working system.