Neha Bhomia
Adjunct Lecturer @University Of Michigan - School Of Information
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WORK HISTORY
Adjunct Lecturer @University Of Michigan - School Of Information
Ann Arbor, MI, US
Realignment and continuous improvement of the data science curriculum within the School of Information• Develop, review, and deliver course materials and syllabi for a graduate-level healthcare data analytics course• Design and facilitate lectures, discussions, and hands-on learning activities aligned with course objectives• Create and evaluate assessments that align with learning outcomes and institutional requirements for graduate programmes• Utilise learning management systems to deliver course content, assessments, and student communications • Collaborate with faculty to develop lesson plans, assignments, and instructional strategies• Integrate emerging trends and advancements in data science and artificial intelligence into course content to ensure relevance and rigour
EDUCATION
University of Michigan
Master of Health Informatics, Health Care Data Analytics
ABOUT NEHA BHOMIA
With a background in healthcare and a Master’s in Health Informatics, I specialise in building data systems that support research, operations, quality improvement, and decision-making.I currently serve as a Data Lead at Michigan Medicine (MCT2D), where I design and manage data pipelines, reporting frameworks, and integrations to support clinical research and quality improvement. In parallel, as a Programmer Analyst at the University of Michigan School of Information, I develop technical solutions that enhance academic and operational workflows.Key areas of focus: • Translating stakeholder needs into clear technical requirements and scalable solutions • ETL pipeline development, data validation, and governance • Integration of multi-source data (EHR, registries, and institutional systems) • Third-party platform integration (e.g, EAB Navigate360) to improve workflows and user experience • Cross-functional collaboration with stakeholders, clinicians, analysts, and external vendors • Scalable reporting and performance measurement solutions • Workflow optimization and systems support for operational processesMy work focuses on making data more reliable, accessible, and actionable across both healthcare and academic environments.
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