Kewei Tang

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Kewei Tang

Locality: Nottingham, United Kingdom
Summary: Currently doing research on 1. mathematical and computational finance area; 2. time series , particularly filtering techniques 3. machine learning and statistical signal processing 4. stochastic dynamic programming and markov decision process 5. market microstructure modelling and High Frequency Finance 6. Robust Portfolio Optimization numerical skills including: 1. Stochastic Calculus, 2. Numerical Analysis 3. computational statistics 4. Machine Learning ; 5. Time Series and Econometrics 6. Kalman Filter 7. numerical optimization and matrix computation programming skills including: 1. c(c++) 2. matlab 3. R 4. Eviews
Past: C++ Project Developer, Researcher in Markov Decision Process and Machine Learning at machine learning lab
Education:  University of Nottingham Computational Finance (2004-2008) 
 University of Nottingham Computational Finance, Mathematical Finance (2004-2008) 
 Hunan University Computer Science (1997-2001) 

Industry: Capital Markets
Experience: NUBS (Educational Institution; 1001-5000 employees; Research industry): Researcher in Computational Finance,  (September 2003-Present) Computational Finance Market Microstructure State Space models and Kalman Filter
machine learning lab (Research industry): C++ Project Developer, Researcher in Markov Decision Process and Machine Learning,  (July 2001-July 20...
Interests: Football (sports), Travelling; Reading Chess
Interests: career opportunities, consulting offers, new ventures, expertise requests, reference requests, getting back in touch
Groups: Risk Jobs, model validation, Quantitative Finance

References for Kewei Tang

Web Results

Kewei Tang - Nottingham University Business School

Nottingham University Business School Website ... BEng(Computer Science), MEng(Applied Computational Techniques), MRes(Finance Oriented)

SGAI International Conference on Artificial Intelligence AI-2010

Professor Bob Berry (University of Nottingham): "An Introduction to Genetic Programming" Kewei Tang (University of Nottingham): "Corporate Cash Flow Forecasting Using Genetic ...