Clinical LLMs for cancer research at Yale School of Medicine [1188-2]
The Yale School of Medicine CHP is at the forefront of data-driven medicine. Hear how NetApp DataOps toolkit and NVIDIA NeMo Retriever allowed integration of broad clinical and research data, for model training, tuning, validation, and deployment.
Speakers
Gus Horn, with a rich educational background including an M.S. in Computer Science from Boston University and MIT with studies under Professor Minsky at MIT, as well as business insights from MIT Sloan, is a seasoned professional with 25 years of experience in multinational team leadership. A pioneer in AI and ML, Gus has designed and built enterprise-class AI and analytics platforms that support autonomous vehicles, financial risk assessment, and life sciences with the Yale School of Medicine. \nHis key accomplishments include the creation of an AI/ML simulation test bed for autonomous vehicle R&D and holding multiple patents in Big Data Hadoop. A strategic thinker, Gustav has advanced AI and analytics data management solutions through partnerships and product development. He has also served as a domain expert and market evangelist, sharing his knowledge at industry events and as a recognized NetApp Executive briefing presenter.\n
Dr. Schulz is a physician scientist and computational healthcare researcher at Yale School of Medicine with a focus on data infrastructure, real-world evidence generation, and clinical artificial intelligence applications.
⁃ Postdoctoral researcher at Yale School of Medicine\n⁃ Interested in leveraging quantum computing, AI/ML and natural language processing (including LLMs) for computational health and biomedical research
