معرفی
James Henry, Ph.D., serves as Associate Professor and Graduate Coordinator in the Dan F. Smith Department of Chemical and Biomolecular Engineering at Lamar University. His interdisciplinary research bridges chemical engineering with neuroscience and biomaterials science, focusing on critical health challenges through innovative engineering solutions.
His academic credentials include:
- Ph.D. in Chemical Engineering from Texas A&M University
- M.S. in Chemical Engineering from the University of Arkansas
- B.S. in Chemical Engineering from the University of Arkansas
Dr. Henry's research program centers on developing photometric sensors for neurotoxic agents, Alzheimer's disease therapeutics using sialic acid analogs, biocompatible tissue replacement materials, and cellular-structure-mimicking biosensors. His work integrates molecular analysis of disease progression with natural compound modulation, demonstrating strong translational potential in neurodegenerative disease treatment and regenerative medicine.
His publication history (2004-2012) reveals consistent focus on amyloid-beta toxicity countermeasures and prion detection systems, with significant contributions in whey protein-based bone regeneration scaffolds and nanoparticle-enhanced biosensing platforms. Key methodological themes include dendrimer therapeutics, surface-modified nanomaterials, and fluorescence-based detection assays.
Professional recognition includes:
- Licensed Professional Engineer in Louisiana (2013–Present)
- Tiger Athletic Foundation Undergraduate Teaching Award (2007)
- Mid-Atlantic Biochemical Engineering Consortium Outstanding Poster Presentation (2004)
As Graduate Coordinator, Dr. Henry oversees the chemical engineering graduate program and advises students. His research trajectory indicates sustained funding in biomaterials development and neurotoxicology applications, with laboratory work emphasizing scaffold engineering and molecular interaction studies.
Current laboratory activities focus on advancing biocompatible material systems for neural tissue interfaces and refining detection methodologies for pathogenic proteins, maintaining strong connections between fundamental chemical engineering principles and clinical neuroscience applications.
