Duncan Quevedo

Duncan Quevedo is a Postdoctoral Associate at the MIT Center for Sustainability Science and Strategy (CS3). He earned his BSPH and BS in Environmental Health Sciences and Applied Mathematics, respectively, from the University of North Carolina at Chapel Hill and received his MS and PhD from the University of California, Berkeley in Civil and Environmental Engineering. His doctoral research leveraged fine particulate matter (PM2.5) measurements to characterize PM2.5 responses to covarying environmental factors in California, employed graphics processing unit (GPU) hardware to accelerate chemistry in the Community Multiscale Air Quality (CMAQ) chemical transport model (CTM), and coupled the Chemistry Across Multiple Phases (CAMP) chemistry model to the 4-Mode Modal Aerosol Module (MAM4) as part of the Aerosol Model Benchmark Repository and Standards (AMBRS) Project effort to quantify structural error in aerosol models.

At CS3, Dr. Quevedo employs inverse modeling techniques to estimate emissions of greenhouse gases (GHGs) and ozone-depleting substances (ODSs) as part of the Advanced Global Atmospheric Gases Experiment (AGAGE). His experience in atmospheric model development supports the AGAGE effort to quantify GHGs and ODSs towards monitoring the abundance and evolution of these harmful chemical species in the atmosphere.