Dr. Meisam Omidi

Dr. Meisam OmidiMarquette University

School of Dentistry, S021D

MilwaukeeWI53201United States of America(414) 288-6579meisam.omidi@marquette.eduGoogle Scholar

Laboratory Manager

Developmental Sciences

Education

Research Interests

• Machine Learning and Predictive Modeling: Developing and applying machine learning algorithms to optimize the design and performance of biomaterials and tissue scaffolds.
• Big Data Analytics in Tissue Engineering: Analyzing large datasets from experimental and clinical studies to uncover patterns that enhance the development of personalized regenerative medicine solutions.
• Smart Biomaterials: Designing and characterizing environmentally responsive biomaterials, such as thermoresponsive and light-curable hydrogels, for applications in tissue regeneration.
• Scaffold Development for Regenerative Medicine: Creating advanced scaffolds that mimic the natural extracellular matrix, focusing on the regeneration of soft and hard tissues, including the pulp-dentin complex.
• Data-Driven Biomaterial Optimization: Utilizing data science techniques to improve the fabrication processes and material properties of tissue engineering scaffolds.
• Integration of Computational and Experimental Approaches: Combining data-driven insights with experimental tissue engineering to develop scalable and effective regenerative therapies.

Specialization

• Data Science in Biomedical Engineering
• Machine Learning and Predictive Modeling for Biomaterials
• Big Data Analytics in Regenerative Medicine Nanobiomaterials and Smart Material Design
• 3D Printing for Tissue Engineering
• Development and Characterization of Tissue Scaffolds
• Regenerative Endodontics Biomaterial Optimization and Fabrication
• Integration of Computational and Experimental Methods
• Stem Cell-Based Tissue Regeneration