Pioneering transparent AI architectures that maintain regulatory compliance while delivering breakthrough performance in healthcare applications.
Designing next-generation enterprise solutions that seamlessly blend innovation with strict industry regulations and compliance requirements.
Leading transformational AI implementations across pharmaceutical and biotech industries through strategic technology integration.
Contributing to IEEE research initiatives and developing industry standards for responsible AI deployment in regulated environments.
Studying AI policy at Harvard Kennedy School, focusing on ethical frameworks and governance structures for healthcare technology.
Directing large-scale AI implementations for major firms as Managing Partner at UsefulBI Corporation, bridging technical innovation with business outcomes.
My work focuses on the critical intersection where cutting-edge AI technology meets the rigorous demands of healthcare regulation.
Through research with IEEE and ongoing studies at Harvard Kennedy School, I'm developing frameworks that ensure AI systems remain both innovative and interpretable - a crucial balance for healthcare applications.
This unique positioning allows me to guide organizations through complex digital transformations while maintaining the transparency and compliance that healthcare demands.
Interested in explainable AI, healthcare innovation, or speaking opportunities? Let's connect and explore how we can advance the field together.