Models for decisions under uncertainty.
Criterio Studios builds models of how people learn, decide, and perform.
Modelling
Criterio builds statistical, causal, and machine-learning models.
Instruction
Criterio also teaches workshops and short courses in data science, generative AI, and agentic engineering, for teams inside companies and groups in universities.
Konstantina Yaneva, Founder
Konstantina founded Criterio Studios to bring applied machine learning and statistical modelling to organisational decisions made under uncertainty.
Previously, she was part of the technical team teaching MIT's AI Studio course AI Agents and Agentic Web. Most recently, in April, she served as an instructor on the Harvard Data Science Initiative's Generative AI for Graduate Students and Postdocs. She is also a core member of Sundai, an MIT- and Harvard-born hacker group built around rapid AI prototyping, education, and start-up acceleration.
Her academic foundation is a B.A. from Columbia University in the social sciences, with ongoing graduate study in data science at Harvard. Earlier technical work spans geospatial analysis of emissions, classification of astrophysical X-ray sources, analysis of NASA imagery, and modelling cognitive state from EEG signals aligned with language-model embeddings.
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