We perform fundamental research and develop technologies for improving human health. Ongoing research includes studies of nanoparticle-biological interactions, cellular mechanics, engineering of proteases and CRISPR-Cas systems, development of new types of sensors, and new materials for biomedical applications.
Ph.D., 2017, Cornell University
Research Interests: Complex Fluid Dynamics, Colloid and Interface Science, Electrokinetics, and Rheology
Ph.D., 1992, University of Minnesota
Research Interests: Cellular Engineering, Cell Adhesion, Cell Migration, Molecular Motors, Mathematical Biology
Assistant Professor and Shah Rising Star Professor
Research Interests: Bioengineering, Gene Editing, CRISPR/Cas, Nucleic acids and Protein Engineering, Nanomaterials, Responsive Systems
Research Interests: Self-Assembly, Colloid and Surface Science, Functional Coating, Polymer Engineering, Biomaterials, Recombinant Proteins
Research Interests: Electrochemical Engineering: Electrochemical Impedance Spectroscopy, Corrosion (including cathodic protection), Current Distribution in Electrochemical Systems, Fuel Cells, Mathematical Modeling.
Department Chair and Dean’s Leadership Professor
Research Interests: Biomedical applications of magnetic nanoparticles; fundamental fluid physics of suspensions of magnetic nanoparticles; magnetic nanoparticle synthesis and functionalization; suspension hydrodynamics and rheology.
Ph.D. 2018, The Ohio State University
Research Interests: Polymer Membranes, Polymer-Protein Conjugates, Self-Assembly, Computational Materials Design
Pruitt Family Professor and Department Chair J. Crayton Pruitt Family Department of Biomedical Engineering
Associate Professor & J. Crayton Pruitt Family Term Fellow
Assistant Professor, William P. and Tracy Cirioli Term Professor, and Ph.D. Recruitment Coordinator
Harry and Bertha Bernstein Professor and Undergraduate Program Coordinator
Ph.D., 1981, University of Minnesota (1982)
Research Interests: Bioprocess Engineering, Process Modeling, Optimization, and Control, Machine Learning