• Dana McGuffin

  • Carnegie Mellon University
  • Department of Chemical Engineering
  • 5000 Forbes Avenue
  • Doherty Hall
  • Pittsburgh, PA 15213
  • dmcguffi@andrew.cmu.edu


2015 — Present Ph.D. (in progress), Chemical Engineering, Carnegie Mellon University
2011 — 2015 B.S., Chemical Engineering, The University of Texas at Austin


August 2014 — June 2015 Undergraduate Researcher at Dr. Michael Baldea's Lab for Process and Energy Systems at UT-Austin
Spring semesters 2012 — 2014 Undergraduate Research Assistant Laboratory for Nanostructured Polymeric Materials at UT-Austin
May — December 2013 Product Environmental Management Co-op at Cummins, Inc. Stoughton, WI

Teaching Assistant

Spring, 2016 Transport Process Laboratory (06-363)
Fall, 2015 Chemical Engineering Thermodynamics (06-321)

Research Interests

Cloud condensation nuclei (CCN) are a subset of airborne particles known as aerosols, which enable cloud droplets to form as water condenses onto pre-existing CCN particles depending on the composition, concentration, and size of the aerosol. My interest is to investigate if mathematical tools developed in the areas of process control, optimization and machine learning can be adapted for aerosol and climate models with earth-based and satellite data to significantly improve predictions about aerosol behavior. I approach this problem by representing the system as a nonlinear feedback loop within an aerosol microphysical model and analyzing the the inherent stability of the system.