PhD-trained researcher and educator with 25+ years of contributions to artificial intelligence, spanning deep neural network research, and the translation of AI into enterprise and policy contexts.
Featured In
A practical guide for leveraging deep learning in enterprise settings, covering implementation strategies and real-world case studies.
View on Amazon →Pionner research (back to 2000) on Deep Neural Networks architectures and their applications.
Read Paper →Peer-reviewed research outputs focused on artificial intelligence methods, applications, and standards.
View Publications on Google Scholar →Thoughts on AI, technology, and the future of business
Many lessons from Dr House about AI...
Read more →Explore successfully LLM into Business Analytics..
Read more →Why ethical AI is impossible ...
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With a PhD in Physics and over 25 years of experience in artificial intelligence, I have dedicated my career to bridging the gap between cutting-edge research and practical business applications.
My journey began in academic research, where I published pioneering work on deep neural networks. Today, I help organizations navigate the AI revolution through strategic advisory, education, and implementation support.
As a member of the ISO AI Committee, I contribute to shaping international standards for artificial intelligence. I am also the co-founder of Medgical.ai, bringing AI innovation to healthcare.
Medgical is a Series A AI-powered clinical documentation platform that automatically generates medical notes and reports from consultation audio, reducing administrative burden for physicians, with more than 100k consultations.
Reach out directly via email or social channels.
