RESEARCH EXPERIENCE
Post-doctoral Fellow June. 2017–Now
Harvard University
- Methane global emission inversion using atmospheric observations and GEOS-Chem model.
Kravis Post-doctoral Fellow June. 2017–Now
Environmental Defense Fund
- Improve estimates of global top-down and bottom-up anthropogenic emissions of methane including from Oil & Gas sectors.
- Apply data mining techniques to locate and characterize global oil and gas activity.
Post-doctoral Fellow Jan. 2016–May 2017
Georgia Institute of Technology
- Analyzed brown carbon and other aerosol observations from aircraft campaigns; and used these data to investigate the factors and mechanisms governing the vertical distribution of brown carbon.
- Computed the radiative impact of brown carbon and the sensitivity to its vertical distribution.
- Incorporate the findings of this study into a 3-D model for brown carbon simulation.
Graduate Research Assistant Aug. 2010–Dec. 2015
Georgia Institute of Technology
- Studied the mechanism leading to regional high-ozone episodes in the fall season over the southeastern U.S., using a 3-D chemical transport model and long-term surface ozone observations.
- Constructed a 1-D column model to analyze the vertical distribution of NOx in the boundary layer using the data from DISCOVER-AQ 2011 aircraft campaign.
- Constructed a 1-D column model to explore the missing surface and free tropospheric sources of methanesulfonic acid (MSA) using aircraft data over the tropical Pacific.
- Investigated the relationship between formaldehyde column density and surface ozone.
Undergraduate Research Assistant May 2008–June 2010
Peking University
- Measured cellular toxicity of ambient PM2.5 of varied sizes and from varied sources.
- Designed a passive sampler to study the air-soil exchange of polycyclic aromatic compounds (PAH).
EDUCATION
Georgia Institute of Technology Atlanta, Georgia
Ph.D., School of Earth and Atmospheric Sciences Dec. 2015
- Thesis: “Chemistry-climate interactions: boundary layer ozone in the United States and free tropospheric methanesulfonic acid over the tropics”
- Received EAS Research Excellence Award in 2015
Georgia Institute of Technology Atlanta, Georgia
M.S. in Statistics, School of Industrial and Systems Engineering Dec. 2015
- Courses: Regression Analysis, Bayesian Statistics, Non-parametric Statistics, Machine Learning, etc.
Peking University Beijing, China
B.S. in Environmental Sciences July 2010
- Received the Chun-Tsung Chinese Undergraduate Research Endowment
- Received Wusi Scholarship and the Dean’s Award, for outstanding academic performance
SKILLS
- Model: REAM, GEOS-Chem, WRF, CMAQ
- Programming: FORTRAN, C, Python
- Data analysis: IDL, R, Matlab, WinBUGS
- Platform: Unix/Linux