Ye Gao
Tel: 310-***-****
Email: **********@****.***
Address: **** ******* *** *** ***, Los Angeles, CA 90034
COURSEWORK (out of total 29)
Applied probability
Research design and sampling analysis
Statistical programming
Theoretical statistics
Regression analysis
Matrix algebra and optimization
Pattern recognition
Advanced modeling and inference
Monte Carlo and optimization
Introduction to Bayesian statistics
Statistics in computational biology
Applied geostatistics
EDUCATION
University of California, Los Angeles, PhD in physics & MS in statistics, Los Angeles, CA, December 2012
* Advisor: Dr. Raymond J. Walker (*******@****.****.***) & Dr. Qing Zhou (****@****.****.***)
* Coursework in all disciplines of physics and statistics and many disciplines of mathematics
* Full scholarship; GPA: 3.97/4.00 (top 1%); Eugene B. Waggoner award, 2011 (highest honor)
* My dissertation topic is “On the response of polar cap dynamics to its solar wind and magnetotail drivers at high levels of geomagnetic activity”
University of Science and Technology of China, BS in physics, Hefei, Anhui, China, July 2007
* Advisor: Dr. Youqiu Hu (****@****.***.**)
* GPA: 3.89/4.30 (top 5%); Baosteel outstanding student scholarship, 2005; Outstanding student scholarship, 2004 & 2006
PROFESSIONAL EXPERIENCE
Data analyst, Institute of Geophysics and Planetary Physics, UCLA, Los Angeles, CA, September 2007 – December 2012
* Developed the most accurate model to forecast geomagnetic activity at high-latitude earth from solar wind inputs with linear regression, which outperforms any previous model by at least 20% in terms of precision
* Extended the afore-mentioned linear model to a more general “additive” model with machine learning technique, which further improves the prediction efficiency by 5%
* Proved the existence of trend and seasonal variations in geomagnetic activity by mining and analyzing 15 years of data with time series analysis
Programmer, Lab of Space Science, USTC, Hefei, Anhui, China, September 2005 – July 2007
* Implemented 7 numerical methods (inc. SOR, Multi-grid) to solve a partial differential equation (C/C++, FORTRAN 77)
* Evaluated these methods with a test equation in terms of precision and efficiency (numerical analysis)
* Applied the most efficient solver (here, SOR) to solve the ionospheric potential equation in a global MHD simulation code, which improved the overall computational efficiency by 200% (C/C++, FORTRAN 77)
TECHNICAL SKILLS
* Computer skills: MS Windows & Unix, MS Office (inc. VBA)
* Programming: C/C++, MATLAB, R, SQL, Python
* Languages: English (fluent) & Mandarin (native)
SELECTED PUBLICATION (out of 6 journal articles & 6 conference presentations)
* Gao, Y., M. G. Kivelson, A. J. Ridley, J. M. Weygand, and R. J. Walker (2012) Utilizing the polar cap index to explore the strong driving of polar cap dynamics, J. Geophys, Res., 117 (A7), A07213
PROFESSIONAL ASSOCIATIONS
* Certificates: MathWorks certified MATLAB associate, Microsoft Office specialist: Access & Excel 2007
* Membership: American Geophysical Union (02/2008 – ), Society of Quantitative Analyst (07/2012 – )