Bradley Sutliff is a materials engineer focusing on using machine learning to facilitate a circular economy and enhance green initiatives. He earned his Ph.D. at Virginia Tech in 2022 for Macromolecular Science and Engineering while studying cellulose nanomaterials. Prior to that he earned his MS at Syracuse University while researching shape memory polyhydroxyalkanoate composites.
Brad's research interests center around using data analytics to ensure a more environmentally friendly tomorrow. Previous work has included synthesis of biodegradable polymers as well as assessing the processability of natural fillers for stronger composite materials. His current work seeks to enhance the tools at recycling facilities to enable more commercially viable recycled products.
Sutliff, B. P.; Das, A.; Youngblood, J.; Bortner, M. J. High Shear Capillary Rheometry of Cellulose Nanocrystals for Industrially Relevant Processing. Carbohydr. Polym. 2020, 231, 115735.
Frost, B. A.; Sutliff, B. P.; Thayer, P.; Bortner, M. J.; Foster, E. J. Gradient Poly(ethylene Glycol) Diacrylate and Cellulose Nanocrystals Tissue Engineering Composite Scaffolds via Extrusion Bioprinting. Front Bioeng Biotechnol 2019, 7, 280.
Pinto, A.; Ciesla, J. H.; Palucci, A.; Sutliff, B. P.; Nomura, C. T. Chemically Intractable No More: In Vivo Incorporation of “Click”-Ready Fatty Acids into Poly-[(R)-3-Hydroxyalkanoates] in Escherichia Coli. ACS Macro Lett. 2016, 5 (2), 215–219.