Miguel Contreras, M.S., is a Biomedical Engineering PhD student at the University of Florida with a strong passion for leveraging Artificial Intelligence (AI) to revolutionize critical care medicine. His work focuses on predictive modeling and personalized healthcare solutions, aiming to enhance patient outcomes and improve quality of life.
Miguel currently serves as a Research Assistant in the Intelligent Health Lab at the University of Florida. His research centers on applying cutting-edge AI techniques, including the use of large language models (LLMs) and electronic health records (EHRs), to address complex clinical challenges in critical care. His interdisciplinary work includes designing and validating innovative algorithms for predictive modeling in healthcare.
Prior to his doctoral studies, Miguel gained valuable research experience at Wichita State University, where he served as a Research Assistant in the Mechanobiology Lab. His work there involved experimental and computational studies on cellular mechanical behavior. He developed machine learning frameworks to predict subcellular morphology, utilizing techniques such as cell culture, fluorescence microscopy, and image processing. Additionally, he designed novel image similarity metrics to evaluate computational predictions.
Miguel earned his Bachelor of Science in Biomedical Engineering, graduating Magna Cum Laude, and his Master of Science in Biomedical Engineering from Wichita State University. He is on track to complete his PhD in Biomedical Engineering at the University of Florida by July 2026.