Applied AI and quantitative systems
Economics, systems, and the software that turns analysis into decisions.
I build AI and data systems for energy, finance, and document-heavy domains. Graduate economics from Charles University, then two decades running operations at CNN, NBCUniversal, and Czech Television, where a workflow either holds under load or fails in front of an audience.
Energy and infrastructure
Load growth, grid vulnerability, siting, and interconnection. US data center demand nearly doubled between 2023 and 2026, and grid capacity is now the constraint on where compute can be built.
Finance and markets
Valuation, risk, and volatility, approached from graduate economics and prior work on mergers, acquisitions, and portfolio transactions.
Document intelligence
Retrieval-augmented systems for legal and procedural material, built so outputs stay traceable to a source and reviewable by a person.
Featured work
Data center electricity demand in the United States nearly doubled between 2023 and 2026, and grid capacity has become the binding constraint on where new compute can be sited. Ranking which zones absorb that load safely means holding several moving quantities together at once: price volatility, congestion stress, existing data center concentration, and the queued generation that might relieve any of it.
Result. All 21 PJM zones ranked and re-ranked in real time as load growth and queued solar assumptions move, presented on an interactive map for readers who will not open a notebook. Because normalization anchors are fixed to the baseline period, a zone's score means the same thing across scenarios, which is what makes the comparison usable rather than merely responsive.