Valentin Dinu

Assoc Professor
Faculty
DTPHX Campus
Mailcode
9020
Associate Faculty
Faculty
DTPHX Campus
Mailcode
9020

Biography

Valentin Dinu 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 at ASU. 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. Professor Dinu 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.

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. 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.  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. 

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.

Related Links:

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

Courses

Fall 2021
Course Number Course Title
BMI 482 Capstone I
BMI 483 Capstone II
BMI 484 Internship
CHS 492 Honors Directed Study
CHS 494 Special Topics
BMD 502 Foundations BMI Methods I
BMI 560 Teachng Biomedical Informatics
BMI 584 Internship
BMI 590 Reading and Conference
BMI 593 Applied Project
BMI 595 Continuing Registration
BMI 790 Reading and Conference
BMI 792 Research
BMI 799 Dissertation
Summer 2021
Course Number Course Title
BMI 482 Capstone I
BMI 483 Capstone II
BMI 484 Internship
BMD 502 Foundations BMI Methods I
BMI 502 Foundations BMI Methods I
BMI 560 Teachng Biomedical Informatics
BMI 584 Internship
BMI 593 Applied Project
BMI 792 Research
Spring 2021
Course Number Course Title
BMI 482 Capstone I
BMI 483 Capstone II
BMI 484 Internship
CHS 494 Special Topics
BMD 550 Translational Bioinformatics
BMI 550 Translational Bioinformatics
BMI 560 Teachng Biomedical Informatics
BMI 584 Internship
BMI 590 Reading and Conference
BMI 595 Continuing Registration
BMI 790 Reading and Conference
BMI 792 Research
BMI 799 Dissertation
Fall 2020
Course Number Course Title
BMI 484 Internship
CHS 494 Special Topics
BMD 502 Foundations BMI Methods I
BMI 560 Teachng Biomedical Informatics
BMI 584 Internship
BMI 590 Reading and Conference
BMI 593 Applied Project
BMI 595 Continuing Registration
BMI 790 Reading and Conference
BMI 792 Research
BMI 799 Dissertation
Summer 2020
Course Number Course Title
BMI 482 Capstone I
BMI 483 Capstone II
BMI 484 Internship
BMD 502 Foundations BMI Methods I
BMI 502 Foundations BMI Methods I
BMI 560 Teachng Biomedical Informatics
BMI 584 Internship
BMI 593 Applied Project
BMI 792 Research
Spring 2020
Course Number Course Title
BMI 482 Capstone I
BMI 483 Capstone II
BMI 484 Internship
CHS 494 Special Topics
BMD 550 Translational Bioinformatics
BMI 550 Translational Bioinformatics
BMI 560 Teachng Biomedical Informatics
BMI 584 Internship
BMI 590 Reading and Conference
BMI 593 Applied Project
BMI 790 Reading and Conference
BMI 792 Research
BMI 799 Dissertation
Fall 2019
Course Number Course Title
BMI 484 Internship
BMD 502 Foundations BMI Methods I
BMI 560 Teachng Biomedical Informatics
BMI 584 Internship
BMI 590 Reading and Conference
BMI 593 Applied Project
BMI 595 Continuing Registration
BMI 790 Reading and Conference
BMI 792 Research
BMI 799 Dissertation
Summer 2019
Course Number Course Title
BMI 484 Internship
BMI 584 Internship
BMI 792 Research
Spring 2019
Course Number Course Title
BMI 484 Internship
BMI 493 Honors Thesis
BMI 550 Translational Bioinformatics
BMD 550 Translational Bioinformatics
BMI 560 Teachng Biomedical Informatics
BMI 590 Reading and Conference
BMI 593 Applied Project
BMI 790 Reading and Conference
BMI 792 Research
BMI 799 Dissertation
Summer 2018
Course Number Course Title
BMI 484 Internship
BMI 584 Internship
BMI 595 Continuing Registration
BMI 792 Research
Spring 2018
Course Number Course Title
BMI 484 Internship
BMI 493 Honors Thesis
BMI 499 Individualized Instruction
BMD 550 Translational Bioinformatics
BMI 550 Translational Bioinformatics
BMI 560 Teachng Biomedical Informatics
BMI 593 Applied Project
BMI 790 Reading and Conference
BMI 792 Research
BMI 799 Dissertation
Summer 2017
Course Number Course Title
BMI 484 Internship
BMI 584 Internship
BMI 593 Applied Project
BMI 595 Continuing Registration
BMI 792 Research
BMI 799 Dissertation

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