My main field of research is understanding gene transcription and regulation using NGS transcriptomic data and combining it with proteomics to build stronger statistical models that can predict cell behavior under environmental changes.
I have extensive training in statistical data modeling and analysis, parallel computing algorithms and techniques, and large scale data integration and interpretation. Through more than five years of academic research, I have gained invaluable experiences in leading teams of researchers and innovators and communicating between computational and biological areas.
High throughput sequencing, gene regulation, comparative genomics, RNA-Seq, CHIP-Seq.
Algorithm/pipeline design and implementation, software programming, web applications: Python, Perl, Java, C++, C#.
Statistical analysis and modeling, R.
Database Management Systems, MS SQL Server, MySQL.
Parallel algorithms, distributed programming, High Performance Computing, cloud computing.
Research Assistant | University of North Carolina at Charlotte
2009 - 2016
Researcher and Developer | NC Research Campus
Summer of 2010
Teaching Assistant | University of North Carolina at Charlotte
Lecturer | University of Tehran
2007 - 2008
Senior Software Architect | Daystar ITC
2004 - 2007
PorthoMCL: Parallel orthology prediction using MCL for the realm of massive genome availability.
Big Data Analytics
De novo prediction of cis-regulatory elements and modules through integrative analysis of a large number of ChIP datasets
BMC Genomics 2014, 15:1047
ArrayInitiative - a tool that simplifies creating custom Affymetrix CDFs
BMC Bioinformatics 2011, 12:136
A new algorithm for generation of different types of RNA
Int J of Comp Math 2010, 87:6
Masters Thesis Abstract
Master Thesis Full Text (In Farsi)