Tao HUANG

Management Science Department, Lancaster University Management School (LUMS)

Lancaster University, Lancaster, LA1 4YX, UK

Email: t.huang@lancaster.ac.uk

sphere082175@hotmail.com

Education

2007- Lancaster University Management School (LUMS), UK

PhD in Management Science (in Market Modelling and Forecasting)

Research topic: Structural Break and the Value of Promotional Information in Econometric Models in

Forecasting Retailer Sales.

http://www.lums.lancs.ac.uk/profiles/tao-huang/ (this is a previous abstract)
http://www.lums.lancs.ac.uk/events/18506/ (this is an updated abstract)

Supervisors: Distinctive Professor Robert Fildes- leading researcher in forecasting, past-president and

co-founder of the International Institute of Forecasters; Dr Didier Soopramanien

2005- 2006 University of Southampton, UK

MSc in Management Science (with Distinction)

2000- 2004 Southwestern University of Finance and Economics, China

BA in Marketing

Research Interests

Econometric modelling
Market research and market analytics (especially in FMCG for retailers)
Forecasting

Teaching Experiences

Teaching undergraduate tutorials and seminars in

ü Statistics and Computing for Management

ü Introduction to Management Science and Operational Research

Work Experiences

Assistant
Lancaster Chinese Management Centre (LCMC)
Oct 2008- present
Translation and interpretation

Insight analyst for a placement project

Gabem Management Limited
Privately Held; Financial Services industry
June 2006 - September 2006 (4 months)

Evaluating the effectiveness and the profitability of marketing campaigns (using stochastic modelling)

Conference

Tao Huang, Robert Fildes, and Didier Soopramanien, To explore the value of promotional information

in sales forecasting within a retail context, 28th Annual International Symposium on Forecasting, Nice,

France, 22-25 June 2008

Tao Huang, Robert Fildes, and Didier Soopramanien, Structural Break and the Value of Promotional

Information in Econometric Models in Forecasting Retailer Sales, The 2010^th Marketing Science

Conference, cologne, Germany, 17- 19 June 2010

Technique skills

SAS programming and SAS Macro (4 years plus experience)
statistical component in SAS including SAS/STATS, SAS/ETS, SAS enterprise guide etc.

Market research and credit scoring tools in SAS including SAS-Market research, SAS-enterprise miner, etc.

Experienced user of VBA, R, RATS and Matlab

Last updated in Oct 2010