AAAR 37th Annual Conference October 14 - October 18, 2019 Oregon Convention Center Portland, Oregon, USA
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Sahil Bhandari, Ph.D. Candidate in ChemE (UT Austin), Looking for Post-Doc Positions (Agency/National Labs/Industry), Prefer California and Massachusetts
SAHIL BHANDARI, University of Texas at Austin
Abstract Number: 62 Working Group: Meet the Job Seekers
Abstract Over the past three years of field measurements, air quality modeling and high time resolution data mining in the software Igor, I have been working as a part of a collaborative research effort, led by professors in civil and chemical engineering, called the Delhi Aerosol Supersite campaign. My work focuses on the apportionment of air pollution to multiple factors such as climatology, photochemical formation, sources local to and upwind of the city as well as contributions of long-range transport. Additionally, I am working on the quantification of modeling errors in Positive Matrix Factorization due to its inability to capture non-linearity effects. Parallelly, I have modeled chamber experiments using the Carbon Bond Mechanism (CB6r2) in the atmospheric chemistry framework SAPRC for our research group, leading to two second-author publications. Moreover, I am familiarized with instrument development (TD-CAPS), remote sensing and geospatial modeling tools (ArcGIS, ERDAS Imagine) as well. Together, my work on the identification of particulate matter sources in Delhi, quantifying personal exposure in different microenvironments in Austin, and estimation of emissions of greenhouse gases in West Texas has the potential to impact 50 million people. In total, I expect at least three first-author and five second-author publications from my research.
Anticipated Availability: Beginning Fall 2020
Geographic Preference: California and Massachusetts
I believe that a keen interest in environmental research, consulting, and management, the ability to work in challenging research environments, a diverse skill set, and experience with both academic research and consulting projects make me a candidate worthy of consideration. I am particularly fascinated by the fat tail phenomena in emission inventories, the glaring gaps in top-down and bottom-up emission estimates for primary pollutants, and the potential of low-cost sensors and remote sensing in environmental monitoring and policy development.