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).



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



  • Model: REAM, GEOS-Chem, WRF, CMAQ
  • Programming: FORTRAN, C, Python
  • Data analysis: IDL, R, Matlab, WinBUGS
  • Platform: Unix/Linux