Dr. Rengie Chan is a Research Scientist in Indoor Environment Department of the Environmental Energy Technologies Division at Lawrence Berkeley National Laboratory. Her work focus on pollutant transport between outdoor and indoor air, and implications to human exposure as a result. There are many influential factors to consider in different environments. Dr. Chan is currently involved in three projects that study the various aspects of this topic: (1) characterization of the air leakage of U.S. residential homes, (2) indoor air quality and ventilation needs of retail buildings, and (3) integration of indoor modeling capability in hazard event assessments and predictions. Dr. Chan joined the Laboratory as a graduate student and worked on the evaluation of shelter-in-place effectiveness. She collaborated with the National Atmospheric Release Advisory Center to develop an operational model that predicts indoor concentrations in residences and commercial buildings in the event of an outdoor chemical release. Her work has been applied in advising emergency responders on protecting buildings against accidental or intentional chemical or biological releases. Dr. Chan earned her Ph.D. in Civil and Environmental Engineering from University of California, Berkeley in 2006. Prior to that, she participated in the Pittsburgh Atmospheric Particulate Matter Supersite Program led by Carnegie Mellon University, where she studied Chemical Engineering as an undergraduate. Her work involved ambient monitoring of particulate matter and gaseous pollutants. She assisted in the development of an in-situ instrument that measures the water content of fine aerosols.
Mechanical Research Scientist/Engineer
Health benefits and costs of filtration interventions that reduce indoor exposure to PM2.5 during wildfires
A longitudinal study of ventilation rates in California office buildings and self-reported occupant outcomes including respiratory illness absence
Cooking-related PM2.5 and acrolein measured in grocery stores and comparison with other retail types