Zohreh Baharvand Irannia

Objective

Full time position as a Data Scientist

Contact

acy4jk@r.postjobfree.com, 213-***-****

University of Southern California, Ray R. Irani Hall (408K) Education

University of Southern California (USC)

[2016] PhD in Computational Biology & Bioinformatics

[2015] MS in Statistics

Sharif University of Technology (Iran)

[2010] MS in Computer Eng. (Artificial Intelligence) University of Tehran (Iran)

[2007] BS in Computer Eng. (Software Eng.)

Interests & Skills

Interests: data structure, algorithms, software development, software design, machine learning, pattern recognition, data mining, statistical inference and data science.

Programming: Java, C/C++, R, MATLAB, Microsoft SQL Server, Ability to learn other coding languages as needed.

Platforms: MS Windows, Linux.

Experience

[2015-] Designing and implementing an ensemble model based on Random Forest for taxonomic classification of 16S rRNA gene sequences.

[2013-] Designing and implementing a novel statistical graphical model based on Markov random fields to predict taxonomic profiles of microorganisms using 16S rRNA gene sequences.

[2008-10] Dimension reduction and feature selection in gene expression data and cDNA microarrays of cancerous tumors

[2009-10] Ensemble learning methods for classification of gene expression data and cDNA microarrays of cancerous tumors

[2007] Software development for IKCO (Iran Khodro Industrial Group) as part of my BS project

[2006] Software intern in a software company in Iran and working on their ERP project as an undergraduate intern. Honors

[2010-15] USC Provost Fellowship (the most prestigious university-wide fellowship award).

[2007-09] Ranked 1st in MS degree (GPA 19.09 out of 20.00) and awarded in annual commencement ceremony.

[1998-2002] Ranked 1st in Farzanegan NODET high school

(National Organization for Development of Exceptional Talents in Iran).

Publication

Irannia, Zohreh Baharvand, and Chen T. “An ensemble model for taxonomic classifications of 16S rRNA gene sequences” (in progress).

Irannia, Zohreh Baharvand, and Chen T. “TACO: Taxonomic prediction of unknown OTUs through OTU co-abundance networks.” Quantitative Biology: 1-10.

Irannia, Zohreh Baharvand, Rabiee H, Bagherian M: “A new multi-stage hybrid feature selection method for discriminatory genes selection in cDNA microarray gene expression data classification” 2nd Iranian Conference on Bioinformatics, October 2008

Irannia, Zohreh Baharvand, Rabiee H, Bagherian M: “A New Gene Selection Method to Reduce Redundant Genes for Cancer Microarray Classification” University of Tehran’s Journal of Science, 2009

Bagherian M, Beigy H, Irannia, Zohreh Baharvand: “A stacked generalization model based on feature sub-sampling for robust microarray gene expression classification” 2nd Iranian Conference on Bioinformatics, October 2008

Bagherian M, Beigy H, Irannia, Zohreh Baharvand: “Robust DNA microarray classification using a novel ensemble model” University of Tehran’s Journal of Science, 2009

Related Courses

University of Southern California: Analysis of Algorithms, Computational Biology I (Algorithms), Computational Biology II (Statistics), Applied Probability, Mathematical Statistics (Statistical Inference) I and II, Sharif University of Technology: Data Mining, Machine Learning, Pattern Recognition, Neural Networks, Evolutionary Computing, Fuzzy Systems and Fuzzy Logic, Stochastic Processes, Artificial Intelligence Planning, Signals and Systems. University of Tehran: Object Oriented Design, Software Engineering I. II, Operating Systems, Compiler Design, Programming Languages Design, Computer Networks, Computer Architecture, Formal Languages and Automata Theory, Database Systems, Design and Analysis of Algorithm, Data Structures and Algorithms, Web Programming (JAVA), Data Storage and Retrieval, Discrete Mathematics and Structures, Advanced Programming

(C Introduction to Programming (Pascal).

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