UMMS
Seyedmohammad Shams is a seasoned professional in healthcare data science and artificial intelligence/machine learning, currently serving as a Senior Healthcare Data Scientist and AI/ML Expert at the University of Maryland Medical System since March 2024 and as an Adjunct Professor at Lawrence Technological University since November 2023. Prior roles include Data Science Manager at Spectral AI, Staff Scientist and Lead Data Scientist at Henry Ford Health, and Postdoctoral Fellow at Rotman Research Institute at Baycrest (University of Toronto). With extensive experience in developing machine learning methodologies, defining research strategies, and teaching various courses related to electrical engineering and biomedical engineering, Seyedmohammad holds a Ph.D. in Electrical Engineering from the University of Tehran, complemented by an MS in Biomedical Engineering and a BS in Electrical Engineering.
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UMMS
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The University of Maryland Baltimore Washington Medical Center provides the highest quality health care services to the communities we serve. Our medical center is home to leading-edge technology, nationally recognized quality, personalized service and outstanding people. We have 285 licensed beds and we're home to 3,200 employees and 800 physicians.