Our 14 principal investigators hail from public and private research universities, as well as government offices from across the United States. On this page you’ll find each team member’s contact info, links to talks, papers, presentations, Tiger Teams, and much more. This team represents the fourth version of HAQAST, building on the success of HAQAST-3 (2021 – 2025), HAQAST-2 (2016-2020) and HAQAST-1 (2011-2016, a.k.a. AQAST).
Tracey Holloway
University of Wisconsin-Madison
Advancing Satellite Data for Health and Air Quality Management Across Scales
Tracey is the Lead of HAQAST, twice re-appointed for this role since 2016, supporting the success of the team and effective engagement with external partners. Tracey’s research project works with EPA to improve satellite relevance to monitor siting, and with California counties to evaluate the impact of shipping vessel speed reductions on emissions and air quality.
Daniel Anderson
University of Maryland, Baltimore County
Determining near real time surface ozone concentrations from TEMPO and machine learning: a feasibility study
Dan’s team will develop a computationally-efficient machine learning model to produce near real-time and forecasted surface ozone data products across the United States.
Xi Chen
University of Iowa
Support Air Quality and Public Health Management in Wildfires: Satellite and Machine Learning Based Air Quality Forecast
Dr. Chen’s project will improve data-driven machine learning PM2.5 forecasts by incorporating smoke layer centroid height from satellite.
Arlene Fiore
Massachusetts Institute of Technology
New urban-to-global viewpoints on air pollution for public policy and health applications
Arlene’s project will develop new applications of satellite products to advance understanding of processes shaping high-ozone events during spring, when smoke is present, and facilitate visualizations of co-exposure to multiple stressors.
Pawan Gupta
NASA Goddard Space Flight Center
Integrating NASA satellite data, model outputs and research into U.S. State Department’s Environmental Diplomacy Efforts in Africa
Pawan’s project will develop a one-stop online platform supporting African air quality monitoring and forecasting powered by NASA data and research.
Jennifer Kaiser
Georgia Institute of Technology
Using Earth Observations to Investigate Diurnal Bias in Sectorized Emissions, and its Impact on Simulating Exposure of Air Pollution and Implications for Control Strategy Design and Public Health Assessment
Jen’s team will use Earth observations to investigate biases in emissions and provide estimates of how time sensitive sector sources are for improved decision-making in air quality and environmental health management.
Carl Malings
Morgan State University
Scaling Data Fusion Tools to Support Local Air Quality Managers in Latin America
Carl’s team will scale an air quality data fusion approach to new, understudied regions in Latin America, improving air quality data availability and usefulness in addressing air pollution challenges globally.
Jingqiu Mao
University of Alaska, Fairbanks
Exceptional events on air quality and public health at northern high latitudes
Jingqiu’s project will provide actionable insights for Alaskan stakeholders, including improving air quality forecasting during wildfire season and identifying dust events across the state.
Randall Martin
Washington University
Advancing Satellite-derived Fine Particulate Matter Data to Support the Health and Air Quality Management Communities
Randall’s team will leverage recent developments in satellite remote sensing, chemical transport modeling, deep learning, and ground-based measurements to produce the next generation of satellite-derived PM2.5 data extending through 2027 for applications across multiple scales.
Aaron Naeger
NASA Marshall Space Flight Center
Supporting the Health and Air Quality Management Communities by Advancing Satellite-based Fine Particulate Matter Estimates for Applications across Multiple Scales
Aaron’s project aims to advance air quality monitoring and forecasting tools for wildland fire smoke with special attention on TEMPO data products, especially near real-time products and prescribed burns in the southeast U.S.
Jeffrey Pierce
Colorado State University
Leveraging satellites and low-cost monitors to strengthen air pollution and health decision making in under-monitored regions
Jeff’s team will help stakeholders assess pollutant exposure and health impacts in rural US regions, especially related to smoke/dust events, pollutant transport, and agriculture.
Amber Soja
NASA Langley Research Center
Aligning Wildland Fire Emissions Data and Information to Answer Specific Health Questions to Inform Public Action: Answers may lie in the detail
This project will prepare data and information to inform wildland fire, smoke, air quality, and health communities to enable enhanced decisions to mitigate and manage fire regimes and to inform public health outcomes.
Travis Toth
NASA Langley Research Center
Improving PM2.5 Prediction and Analysis using Lidar Observations
Travis’s project will improve the prediction and analysis of PM2.5 pollution using spaceborne lidar observations.
Christopher Uejio
Florida State University
Evaluating Urban Heat Island Mitigation Strategies on Diurnal Heat Exposure and Health Outcomes
Chris’s project will advance the state of urban heat island mapping science and co-produce knowledge with local governments to expedite the development of extreme heat action plans.