Caroline Frischmon, Ph.D. Candidate in Mechanical Engineering, seeking postdoctoral research position
CAROLINE FRISCHMON, University of Colorado Boulder
Abstract Number: 73
Working Group: Meet the Job Seekers
Abstract
I am a Ph.D. candidate at the University of Colorado Boulder seeking a postdoctoral research position to begin in spring/fall of 2026. As a graduate researcher in the Hannigan Air Quality Lab, I have developed expertise in the following areas related to air monitoring using multi-pollutant, low-cost sensors:
Source apportionment: Measuring multiple pollutants, including PM, VOCs, methane, NOx, and CO, makes it possible to conduct source apportionment analysis with low-cost sensor data. I leverage the known relationships between these pollutants and relevant emissions sources to parse out the likely contributors. I also use bivariate polar plotting and wavelet decomposition to explore the spatial and temporal trends of the likely emissions sources.
Sensor calibration: Low-cost sensor calibration is challenging, especially over long-term use. To improve the accuracy and reliability of sensors in a multi-year deployment, I performed a two-step colocation approach that better addresses sensor drift. I also implemented a framework for evaluating the performance of machine learning calibration models and explored data weighting approaches to improve sensor prediction of peak concentrations.
Community-based participatory research: In my Mississippi-based research, I worked closely with impacted community members to design and deploy an air monitoring network, interpret data collaboratively, and use results to support community advocacy. Our community partner has seen increased involvement in their organization following our study, highlighting the benefits of community participation in research activities.
An ideal position would enable me to continue collaborating with impacted communities to advance new applications of low-cost sensing, while also expanding my expertise into complementary research areas such as exposure assessment, indoor air quality, and community-scale modeling.