Igor Ivitskiy, PhD
Former Assoc. Professor, KPI. Researcher in Computational Advertising & Applied AI.
I am a mathematician applying optimization theory to systems that operate under uncertainty.
My academic work focused on mathematical modeling of non-Newtonian fluids and polymer composites - complex physical systems where classical equations fail. This research produced 200+ publications, 50+ patents, and earned the President of Ukraine’s Prize for Young Scientists (2018).
Today I apply the same analytical approach to two domains:
Computational Advertising. Modern ad platforms are black-box optimization systems. I reverse-engineer their bid algorithms, measure causal incrementality, and build systematic frameworks for budget allocation at scale.
Human-AI Interaction. Large language models create new paradigms for human-computer collaboration. I research and build systems that optimize this interaction — from prompt engineering methodologies to AI-augmented decision workflows.
Research Interests
- Causal inference in noisy auction environments
- Reverse-engineering of ad platform algorithms
- Systematic frameworks for human-LLM collaboration
- Control theory applications in marketing operations
