Matthew Helgeson (he/him/his)

Matthew Helgeson

Professor 
Department Vice Chair

Pronounced: HEL-guess-un

Contact

(805) 893-3372
3337 Engineering II
University of California, Santa Barbara
Santa Barbara, CA 93106-5080

ChemE Research Areas: 

Honors: 

2026 Neutron Scattering Society of America (NSSA) Fellow
2020  Neutron Scattering Society of America (NSSA) Science Prize
2018  Van Ness Award Lectures at Rensselaer Polytechnic Institute
2018  Allan P. Colburn Memorial Lectureship, U of Delaware
2016  Unilever Award, American Chemical Society 
2016  Hellman Foundation Faculty Fellowship
2015  Early Career Award, Department of Energy
2015  Excellence in Teaching Award, Northrop Grumman
2014  Early Career Award, National Science Foundation
2012  Distinguished Young Rheologist Award, TA Instruments
2011  Victor K. LaMer Award, American Chemical Society
2009  National Research Council Postdoctoral Fellowship
2009  McCullough Award, Delaware Center for Composite Materials
2009  Graduate Teaching Fellowship, University of Delaware
2008  Neutron Scattering Society of America Student Prize
2008  First Prize, SoftMatt Research Conference
2008  Progress Award, Delaware Center for Composite Materials
2007  University Graduate Fellows Award, University of Delaware
2007  Excellence in Graduate Polymer Research, ACS POLY
2004  Robert L. Pigford Fellowship, University of Delaware
2004  McCabe Society, Carnegie Mellon University
2003  Tau Beta Pi, Pennsylvania Gamma Chapter

Research Description: 

Our research is devoted to the engineering of flow, thermal, and reactive processes to create complex fluids and soft materials with well-specified mesostructure and rheology including colloidal, polymeric, biomolecular and self-assembling materials. To aid this research, we develop experimental and theoretical tools (scattering, microscopy, rheology, statistical & colloidal thermodynamics) for multi-scale characterization and prediction of fluid structure and dynamics. We have particular expertise in developing methods for in situ dynamic monitoring of fluid structure and rheology to characterize and model the evolution of microstructure and material properties during processing. A significant recent focus has been to develop experimental approaches that integrate high-throughput rheological and microstructural measurements with machine learning to enable rapid formulation, characterization and modeling of rheology-enabled materials.

Education: 

BS: Chemical Engineering, Carnegie Mellon University (2004)
PhD: Chemical Engineering, University of Delaware (2009)
Postdoc: Massachusetts Institute of Technology (2009-2011) 

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