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Valentin Dinu

Associate Professor, Department of Biomedical Informatics

Info

 (602) 827-2523

Education

  • PhD Computational Biology and Bioinformatics, Yale University 2007

  • AB Mathematics and Physics, Harvard University

Biography

Valentin Dinu joined ASU in 2007. He holds a PhD in Computational Biology and Bioinformatics from Yale University andan AB in Mathematics and Physics from Harvard University. He also worked in industry as a quantitative financial modeler, software engineer and consultant.

Research Interests

Valentin Dinu's research interests are the assessment, improvement, and development of computational approaches, software applications and databases that will facilitate the management, integration and analysis of diverse sources of biomedical information. Some of Valentin Dinu's teaching and research areas include 1) the use of biological domain knowledge to supplement statistical analysis and data mining methods to identify genes and pathways associated with disease, and 2) the exploration of database modeling approaches for managing large and heterogeneous data sets from both clinical and biosciences domains. Application domains include next generation sequencing (NGS), genome wide association studies (GWAS), and immunosignature protein arrays. 

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Research Publications

  • Valentin Dinu, Perry Miller, Hongyu Zhao. Evidence for association between multiple complement pathway genes and AMD. Genetic Epidemiology (2007).
  • Valentin Dinu, Prakash Nadkarni. Guidelines for the effective use of entity-attribute-value modeling for biomedical databases. International Journal of Medical Informatics (2007).
  • Valentin Dinu, Zhao Hongyu, Perry Miller. Integrating domain knowledge with statistical and data mining methods for high-density genomic SNP disease association analysis. Journal of Biomedical Informatics (2007).
  • Valentin Dinu, Prakash Nadkarni, Cindy Brandt. Pivoting approaches for bulk extraction of Entity-Attribute-Value data. Computer Methods and Programs in Biomedicine (2006).

Research Activity