Nonye is a research scientist who fine-tunes machine learning environments to optimize inference time compute and model classification using natural language.

She leverages sentiment analysis as a force multiplier to uncover monetizable patterns in social networks, laying the foundation for the future of AI in peer-to-peer advertising.

Her social research centers on applying behavioral economics principles to product visibility challenges in dynamic advertising ecosystems.

Nonye uses her deep understanding of human nature to investigate the true “why” and "what" of user needs. Believing that it leads teams to engineer more realistic “who” "where" and "when" of digital and physical product placement.