1. Xuezhi Tang
4001 Baring Street, Apt. 15, Philadelphia, PA 19104 tctangxuezhi@gmail.com (215)350-9802
Qualifications
 Strong mathematics background, especially in probability and statistics, dynamical systems
 Hands-on experience with mathematical modeling and data analysis
 Proficient skills in MATLAB, C++, and Python
 Knowledgeable in financial engineering and risk management, and basic actuarial science
Education and Certificate
Ph.D. Department of Mathematics, Drexel University, Philadelphia, PA GPA: 3.8/4 2011-Present
B.S. Department of Mathematics, Tianjin University of Technology, Tianjin, China GPA:90.42/100 2007-2011
Relative Courses: Probability and Statistics, Multivariate Statistics, Stochastic Process, Financial Engineering and Risk Management,
Machine Learning, C++, Data Structure and Algorithm, PDEs, ODEs
Actuaries Exams (ASA): Probability, Financial Mathematics, Models for Financial Economics, Construction and Evaluation of
Actuarial Models
Relative Experience and Projects
Ph.D. Research Project- Synchronization of coupled oscillators in different networks 2013-Present
 Studied a special type of solutions in Kuramoto model and used different methods to show stability
 Found and proved synchronization conditions for coupled chaotic systems
 Used MATLAB to simulate the dynamics of coupled oscillators
Built Mathematical Model (Moving Average- Mean reversion) for mock investing on stock market 08/2015
 Construct my stock portfolio by using Variance ratio test, combined with candlestick signal, such as NRB, RB
 Encoded MA into MR model to determine the market value of stock in position; profit increased 5% than using MR only
 Used Kalman filter to estimate hedge ratio to manage risk, which eliminate large draw-down for my P&L
Segmentation of Images by Using Hidden Markov Random Field Model and EM Algorithm 10/2013
 Built Hidden Markov Random Field Model which encoded spatial information
 Fit model by using EM Algorithm and applied on piecewise-constant images with small numbers of classes
 Misclassification ratio (MCR) of Hidden Markov model decreased to 0.8% from 4.25% of the regular finite mixture model
Teaching assistant in Mathematics Department, Drexel University 2012-Present
 Instructed lab in MATLAB program language for course Numerical Analysis
 Instructed lab in R program language for course Scientific Data Analysis
China Undergraduate Mathematical Modeling Contest- The prediction of the economy in Shanghai area after 2010 World Expo
 Learned and implemented several statistics methods, such as Factor analysis, Auto-regressive and Moving Average Model
 Increased ability to analyze and solve real world problems in limited time span
Technical Skills
MATLAB C++ R C Python Mathematica Excel SAS
Publications and Awards
Synchronization of coupled chaotic maps, Phys. D 304/305 (2015), 42–51. 6/2015
Stability of twisted states in the Kuramoto model on Cayley and random graphs, J Nonlinear Sci, Vol.25, Iss.6 (2015) , P. 1169 4/2015
AIMS International Conference National Science Foundation (NSF) Travel Grant 7/2014
First or Second Prize in China Undergraduate Mathematical Modeling Contests for three years 2008-2010