Latoya McDonald
Postdoctoral Researcher @National Library Of Medicine Nlm
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WORK HISTORY
Postdoctoral Researcher @National Library Of Medicine Nlm
EDUCATION
University of New Haven
Master's degree, Bioengineering and Biomedical Engineering
UCLA
Training in Computational Genomics
Saint Augustine’s University
Bachelor of Science (B.S.), Engineering Mathematics
Clemson University
Doctor of Philosophy - PhD, Bioengineering
University of New Haven
Master of Science - MS
ABOUT LATOYA MCDONALD
Ph.D. in Bioengineering | Clinical NLP & AI in Healthcare | Certified Quality Science ProfessionalI’m an engineer/scientist passionate about using AI and natural language processing (NLP) to make healthcare smarter, safer, and more human-centered. My doctoral research focused on NLP for unstructured clinical data, helping uncover hidden risks and improve care quality through electronic health records (EHRs) and translating that data into more streamlined formats such as taxonomies.I bring a unique perspective: a blend of technical research, clinical understanding, educational implementations, and regulatory knowledge. I’m also a Certified Quality Science Professional, trained in FDA pathways, ISO standards, GCP, CAPA, and patient safety, ensuring that healthcare innovation is not only cutting-edge but also compliant, scalable, and ethical.Alongside my work in healthcare AI, I have hands-on experience in therapeutic massage and a deep interest in integrative and natural medicine. I am especially interested in exploring how technology, data science, and evidence-based holistic care can come together to support whole-person health. My long-term goal is to help build solutions that bridge clinical practice, natural therapies, and digital innovation.Currently, I’m expanding my coding and machine learning skills to broaden my impact in healthcare AI, digital health, and translational research. I’m eager to collaborate with interdisciplinary teams anywhere in the world who are working to transform healthcare through thoughtful, data-driven, patient-centered solutions.Areas of focus: Clinical NLP & unstructured healthcare data Digital health innovation & data strategy AI model development (learning) & implementation Regulatory science & quality systems Cross-functional leadership & education Integrative medicine & whole-person wellness (long-term interest)I’m open to remote, hybrid, or international opportunities in healthcare AI, digital health, clinical data science, or translational research—especially roles where I can continue learning and contributing to meaningful healthcare transformation.
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