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Valentin Dinu

Assoc Professor
Faculty, DTPHX Campus, Mailcode 9020
Associate Faculty
Faculty, DTPHX Campus, Mailcode 9020
Biography: 

Valentin Dinu joined Arizona State University in 2007. He holds a PhD in Computational Biology and Bioinformatics from Yale University and an A.B. in Mathematics and Physics from Harvard University. He also worked in industry as a quantitative financial modeler, software engineer and consultant. He directs the Translational Bioinformatics Lab.Translational bioinformatics bridges multiple disciplines within biomedical informatics (bioinformatics, structural informatics, and clinical informatics) in seeking genomic and cellular mechanisms to explain and predict clinical phenomena. For the past 15 years Professor Dinu's research has focused on developing informatics methods and applications for managing, integrating and analyzing large biomedical data sets generated with various high-throughput platforms such as genomic sequencing, microarrays (genome wide association studies, gene expression, methylation, immunosignaturing, etc.) and mass-spectrometry. His research has been supported by NIH, BARDA, DOD, Children’s Oncology Group, Hyundai Hope On Wheels, Virginia G. Piper Foundation, Mayo Clinic and ASU.  Professor Dinu has extensive experience developing and refining statistical and data mining algorithms for the analysis of large biomedical data sets. He teaches and co-teaches in-person and online undergraduate and graduate level classes in translational bioinformatics, research study design, medical decision science, biostatistics and data mining. He has applied these methods and tools to analyze data for various diseases, such as cancer, diabetes, obesity, Alzheimer’s disease, schizophrenia, and age related macular degeneration.  

Education: 
  • Ph.D. Computational Biology and Bioinformatics, Yale University 
  • A.B. Mathematics and Physics, Harvard University
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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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: 
Summer 2020
Course NumberCourse Title
BMI 482Capstone I
BMI 483Capstone II
BMI 484Internship
BMD 502Foundations BMI Methods I
BMI 502Foundations BMI Methods I
BMI 560Teachng Biomedical Informatics
BMI 584Internship
BMI 593Applied Project
BMI 792Research
Summer 2019
Course NumberCourse Title
BMI 484Internship
BMI 584Internship
BMI 792Research
Summer 2018
Course NumberCourse Title
BMI 484Internship
BMI 584Internship
BMI 595Continuing Registration
BMI 792Research
Summer 2017
Course NumberCourse Title
BMI 484Internship
BMI 584Internship
BMI 593Applied Project
BMI 595Continuing Registration
BMI 792Research
BMI 799Dissertation
Summer 2016
Course NumberCourse Title
BMI 790Reading and Conference
BMI 792Research
Presentations: 
  • Valentin Dinu. Pathway-based Analysis of Association between High Density Genomic Loci and Disease. Neuroscience-Neurogenomics Collaborative Colloquium Series (UA, TGen, ASU) (Nov 2008).
  • Jeffrey Kriseman, Tarek Saleh, Valentin Dinu. Next Generation Translational Bioinformatics Research Toolkit. Translational Genomics Research Institute Retreat (May 2008).
  • Dinu, Valentin. Pathway-based Analysis of Association between Genomic Loci and Disease. Mayo Clinic Seminar Series (Apr 2008).
  • Dinu, Valentin. Informatics Approaches to Translational Research: Management and Analysis of Clinical and High Density Genomic Data. (May 2007).
  • Dinu, Valentin. Integrating Domain Knowledge with Statistical and Data Mining Methods for High Density Genomic SNP Disease Association Analysis. (Apr 2007).
  • Dinu, Valentin. Pathway/SNP: Integrating Domain Knowledge with Statistical and Data Mining Methods for High Density Genomic SNP Disease Association Analysis. Genome-Wide Association Studies: Design and Analysis Conference (Oct 2006).
  • Dinu, Valentin. Pathway-based Analysis of Association between Genomic Loci and Disease. NLM Informatics Training Conference (Jun 2006).
Honors / Awards: 
  • 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)
  • ASU/Mayo Clinic Partnership for Collaborative Research Seed Grant Award (2010)
Service: 
  • Human Genetics, Research Article Reviewer (2008 - Present)
  • BMI/BMS Colloquium Series Committee, Member (2008 - Present)
  • Journal of Biomedical Informatics, Research Article Reviewer (2008 - Present)
  • BMI Undergraduate Curriculum Committee, (2007 - Present)
  • BMI Graduate Curriculum Committee, (2007 - Present)
  • EURASIP Journal on Bioinformatics and Systems Biology, Research Article Reviewer (2007 - Present)
  • BMI Adjunct/Affiliate Committee, Chair (2008 - 2008)
Expertise Areas: