I am well versed in quantitative data analysis and statistical modeling. I got my master degree in operations research, Columbia University, focusing on quantitative finance.
Before that, my research interests included studying global carbon cycle, conducting large-scale modeling using remote sensing data, and testing its feedback on climate change. I attended and presented at a number of national-wide conferences during that period.
I like exploring new restaurants, travelling, watching movies, lifelogging with iPhone, designing something small and sweet, and anything else not related to finance.
M.S. Operations Research, Columbia Univeristy, 2013
M.S. Earth System Sciences, UC Irvine, 2011
B.S. Environmental Sciences, Peking Univeristy, 2007
Morgan Stanley, Quantitative Analyst-AVP, 2016-present
Standard and Poor's Rating Services, Quantitative Associate, 2013-2016
Quantitative Management Associates, Asset Allocation Intern, 2013
Microsoft, Project Management Intern, 2012
Python, MATLAB, SQL, C++, Linux, Excel/VBA
Statistics, Data Mining, Asset Management
Passed Series 63 and 7. Passed CFA Level 1 Exam
Project Leader, researched and implemented a short-term momentum signal for commodity futures, 2012
Graduate Research Assisstant, developed an empirical model for estimating the global carbon dioxide fixed by plant and global plant respiration fluxes, and assessed uncertainty using Monte Carlo simulation