Lia is a trained data architect dedicated to researching AI and blockchain infrastructure, with a particular focus on the social impact of these technologies. She explores how the intersection of AI and blockchain offers a pathway to a decentralized AI future—a future that combines programmable, intelligent user interfaces with digital sovereignty, data provenance, and personal AI ownership.

Passionate about promoting sociotechnological safety, Lia specialized in algorithmic bias during her studies at University College London. She advocates for awareness of how software architecture reflects its creators, emphasizing that AI bias often goes unchecked due to a lack of diversity among developers who build and train models.

In blockchain, Lia critically examines the industry's emphasis on immutability, cautioning that inflexibility may hinder rigid networks to adapt to human growth and iterative thinking if they cannot evolve alongside societal needs.

To further her mission of ethical AI adoption, Lia founded AI agency www.intuitively.ai to help companies embrace AI responsibly, applying her expertise to implement innovative solutions that safeguard societal and individual interests.

Lia's research and explorations have led her to collaborate with companies associated with Cambridge University, Ethereum founders, and other industry pioneers. Through these partnerships, she continues to influence the development of technologies that prioritize both innovation and ethical considerations.

German/ Spanish native, raised in Cambridge - UK