Research focus
- Broad areas of interest: Graph Theory, Econometrics and Finance, Bioinformatics, Machine Learning
+ Protein function recognition: Develop computational methods/ tools to predict protein function, protein- protein interactions, conserved region, and correlated mutation.
Case study: PMO, Influenza, Potassium Channel family
+ Quantitative Finance: Develop statistical models, algorithms and ultimately, software tools for statistical arbitrage. Investigating the micro structure of financial market: correlation, cointegration, lead/lag relationships and their application to risk management, algorithmic trading.
Education:
- B.S, Mathematics, Ho Chi Minh City Pedagogical University, Vietnam, 2005
- M.S, Applied Mathematics, HCM University of Technology, HCM City, Vietnam, 2008
- Ph.D, Molecular Biology at Roma Tre University, Rome, Italy, 2014
Selected Publications
- Le Viet Hung, Silvia Caprari, Massimiliano Bizai, Daniele Toti, Fabio Polticelli. LIBRA: LIgand Binding site Recognition Application. In Bioinformatics 31(24), DOI: 10.1093/bioinformatics/btv489
- Caprari, S., Toti D, Viet Hung L, Di Stefano M, Polticelli F. (2013) ASSIST: a fast versatile local structural comparison tool. Bioinformatics 30 (7), 1022-1024.
- Hoang Nguyen, Viet Hung Le, Hai Nguyen, Tri Nguyen, Ly Le. Ontology Database of Vietnamese herbs. Journal of Chemical Information and Modelling. Submitted.
Links
http://www.computationalbiology.it/software.html
http://www.computationalbiology.it/aboutus.html
