{"id":6,"date":"2015-06-18T12:16:49","date_gmt":"2015-06-18T10:16:49","guid":{"rendered":"http:\/\/iscpif.fr\/maziyar\/?page_id=6"},"modified":"2025-11-03T17:37:49","modified_gmt":"2025-11-03T15:37:49","slug":"home","status":"publish","type":"page","link":"https:\/\/iscpif.fr\/maziyar\/","title":{"rendered":"Home"},"content":{"rendered":"
<\/p>\n
<\/div>\n<\/div>\n

TL;DR<\/b><\/span><\/h2>\n

Creator of OpenMed | Generative AI Leader in Healthcare | Building Sovereign On-Premise AI | Open Source AI Advocate<\/span><\/p>\n

Product architect specialized in deploying state\u2011of\u2011the\u2011art Generative AI for regulated healthcare and life\u2011sciences settings, bridging public\u2011research rigor and enterprise production.<\/span><\/p>\n

For over 16 years in public research, primarily at France\u2019s National Centre for Scientific Research (CNRS), Maziyar has led large\u2011scale AI\/ML platforms and model releases at the intersection of high\u2011performance computing, big data, and generative AI. He has been a core leader behind John Snow Labs\u2019 Spark NLP ecosystem, which powers a vast share of medical NLP in production (including on AWS SageMaker and Amazon Bedrock). His stance is clear: medical AI must be open, auditable, sovereign, and deployable within a hospital\u2019s own walls. He founded OpenMed<\/b><\/span> to advance transparent, on\u2011prem\u2011ready medical language models.<\/span><\/p>\n

\n

Maziyar PANAHI: Full Professional Bio<\/b><\/span><\/h1>\n

Location:<\/b><\/span> Paris, France<\/span><\/p>\n

Principal AI Engineer and product architect specializing in bringing state-of-the-art Generative AI to the most demanding healthcare and life sciences environments. For over 14 years in public research, primarily with France’s National Centre for Scientific Research (CNRS), I have led large-scale projects at the intersection of high-performance computing and artificial intelligence. This deep scientific background informs my commercial work, where I led the team behind John Snow Labs’ Spark NLP, the most widely used NLP library in the enterprise, which powers the vast majority of medical AI models on platforms like AWS SageMaker and Bedrock.<\/span><\/p>\n

My work is driven by a core belief: the future of medical AI must be open, auditable, and sovereign. This conviction led me to found OpenMed, an initiative dedicated to creating and sharing transparent, state-of-the-art medical language models. I believe that for AI to be truly trusted in clinical settings, it cannot be a black box. It must be deployable within a hospital’s own walls.<\/span><\/p>\n

My expertise covers the full stack of medical AI deployment: from training and fine-tuning domain-specific LLMs (100M to 200B+ parameters) to architecting the national-scale, on-premise infrastructure they require. This includes managing billion-row databases on everything from bare-metal servers to hardened Kubernetes clusters. As an Infrastructure Project Manager at the Institute of Complex Systems of Paris (ISCPIF), I continue to manage the complex, high-performance computing environments essential for this pioneering research.<\/span><\/p>\n

My mission is to leverage Europe’s leading AI to build the default engine for every hospital, pharma giant, and public health agency that requires a secure, sovereign, and powerful medical intelligence platform. I am focused on turning cutting-edge scientific research into robust, compliant, and commercially successful enterprise solutions.<\/span><\/p>\n

\n

Mission & stance<\/b><\/span><\/h2>\n