School of Computing and Informatics

Directory Profile

Valentin Dinu

Valentin Dinu

Assistant Professor
Department of Biomedical Informatics


 



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


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.

Education

Ph.D. Yale University 2007

Contact Info

Office Location: ABC 233
Phone: 602.827.2523
Email: valentin.dinu@asu.edu
Website: http://www.dinulab.org

Research/Areas of Expertise

- Biomedical informatics
- Translational research
- Integrative disease association analysis
- Genome wide association studies
- Entity-attribute-value database modeling

Courses Taught

- BMI 501 Introduction to Biomedical Informatics
- BMI 591 Topics in Translational Bioinformatics

Honors and Distinctions

- Excellence in Teaching Award (1999)
- Magna Cum Laude with Highest Honors college graduate (2000)
- PhD funded by National Library of Medicine Biomedical Informatics Training Grant (2004-2007)

Selected Publications

V. Dinu, H. Zhao, and P. L. Miller, "Integrating domain knowledge with statistical and data mining methods for high density genomic SNP disease association analysis," Journal of Biomedical Informatics, vol. 40, 2007, pp. 750-60.

V. Dinu, P. L. Miller, and H. Zhao, "Evidence for association between multiple complement pathway genes and AMD," Genetic Epidemiology, vol. 31, 2007, pp. 224-37.

V. Dinu and P. Nadkarni, "Guidelines for the effective use of entity-attribute-value modeling for biomedical databases," International Journal of Medical Informatics, vol 76, 2007, pp. 769-79.

V. Dinu, P. Nadkarni, and C. Brandt, "Pivoting approaches for bulk extraction of Entity-Attribute-Value data," Computer Methods and Programs in Biomedicine, vol. 82, 2006, pp. 38-43.


Back to Directory Home