My current research is about trade-offs in metabolic networks. In this regard, I apply linear programming to the genome-scale metabolic network of various organisms. Also, I have experience in applying computational geometry and machine learning models to analyze biopsy images. In addition, during the master thesis, I worked with the whole-genomic data, protein domains, pan-cancer, and statistics.
My primary interest areas in computer science are algorithms design, data mining, data analyzing, linear programming, graph theory, computational geometry, and machine learning. In addition, I am interested in systems biology modeling, genome-scale metabolite networks, cancer study, genome research, medical image analysis, and multi-omics data analysis in bioinformatics.
University of Tehran, Tehran, Iran, M.Sc. Computer Science, 2016
Amirkabir University of Technology, Tehran, Iran, B.Sc. Computer Science, 2007
I tutored Analysis of Cellular Networks exercises in the bioinformatics M.Sc. program (R programming, graph theory).
Seirana Hashemi, Zahra Razaghi-Moghadam, Zoran Nikoloski (2021)
Identification of flux trade-offs in metabolic networks
Seirana Hashemi, Abbas Nowzari Dalini, Adrin Jalali, Ali Mohammad Banaei-Moghaddam & Zahra Razaghi-Moghadam (2017)
Cancerouspdomains: comprehensive analysis of cancer type-specific recurrent somatic mutations in proteins and domains