- Pedram Torabian at University of Calgary, Canada
Pedram Torabian is a highly skilled professional with a deep expertise in bioinformatics, computational biology, and molecular biology. With a strong academic background and extensive hands-on experience, Pedram has demonstrated proficiency in programming languages such as R, Python, SQL, and Linux. Pedram’s research focuses on Next-Generation Sequencing (NGS) data analysis, particularly in spatial transcriptomics, single-cell RNA-seq, and bulk RNA-seq. Throughout Pedram’s career, they have contributed significantly to various research projects in prestigious institutions, showcasing a passion for unraveling complex biological phenomena through computational approaches.
Author Metrics
Pedram’s contributions to the scientific literature are further underscored by their author metrics, including citation counts, h-index, and publication impact. These metrics serve as quantitative measures of Pedram’s research impact and scholarly influence within the scientific community. With a strong publication record and consistent citations, Pedram’s work has garnered recognition and contributed to the advancement of knowledge in bioinformatics and molecular biology.
- Citations: 12 documents
- Documents: 6
- h-index: 2
This information gives a snapshot of Pedram Torabian’s research output and impact. It indicates that Pedram Torabian has authored 6 documents which have been cited a total of 12 times, resulting in an h-index of 2. The ORCID provided allows for further exploration of Pedram Torabian’s research profile.
Scopus Profile
Google Scholar Profile
ORCID Profile
Education
Pedram Torabian holds a Master of Medical Science from the University of Calgary, where they specialized in bioinformatics, genomics, and tumor microenvironment dynamics. Additionally, Pedram completed a Master of Human Genetics at Iran University, with coursework covering genetics engineering, human genetics, and population genetics. These educational achievements have provided Pedram with a strong foundation in both theoretical knowledge and practical skills necessary for their research endeavors.
Research Focus
Pedram’s research primarily revolves around leveraging computational methods to analyze and interpret biological data. They specialize in NGS data analysis, including spatial transcriptomics, single-cell RNA-seq, and bulk RNA-seq. Pedram’s work often involves developing machine learning algorithms to uncover patterns and insights from large-scale genomic datasets. Their research interests also encompass understanding the genetic basis of various diseases, including cancer, epilepsy, and autoimmune disorders, with the aim of elucidating underlying molecular mechanisms and identifying potential therapeutic targets.
Professional Journey
Pedram Torabian embarked on their professional journey as a research assistant at Razavi Hospital in Iran, where they led projects on genetic epilepsy and autoimmune diseases. Subsequently, Pedram joined the Arnie Charbonneau Cancer Institute at the University of Calgary, where they further honed their skills in bioinformatics and computational biology. Throughout their career, Pedram has collaborated with multidisciplinary teams, contributed to numerous research publications, and demonstrated a commitment to advancing knowledge in the field of molecular biology and genetics.
Honors & Awards
Pedram Torabian’s dedication and academic excellence have been recognized through various honors and awards. They were the recipient of the Griffith University Postgraduate Research Scholarship (GUPRS), underscoring their potential as a promising researcher in the field. Additionally, Pedram achieved exceptional rankings in national entrance exams, reflecting their outstanding academic performance and aptitude for scientific inquiry.
Publications Noted & Contributions
Pedram Torabian has made significant contributions to the scientific community through their research publications and contributions. As a co-author on several peer-reviewed articles, Pedram has shared insights into diverse topics ranging from genetic epilepsy to cancer biology. Their publications reflect a meticulous approach to research, incorporating rigorous experimental design, data analysis, and interpretation to generate novel findings and advance understanding in their respective fields.
Title: Investigating autophagy and intricate cellular mechanisms in hepatocellular carcinoma: Emphasis on cell death mechanism crosstalk
Title: Cancer stem cell-mediated drug resistance: A comprehensive gene expression profile analysis in breast cancer
- Journal: Pathology – Research and Practice
- Year: 2023
- DOI: 10.1016/j.prp.2023.154482
- Contributors: Pedram Torabian, Hassan Yousefi, Aysan Fallah, Zahra Moradi, Tohid Naderi, Mahsa Rostamian Delavar, Yavuz Nuri Ertas, Ali Zarrabi, Amir Reza Aref
Title: Gene Silencing of TGFβRII Can Inhibit Glioblastoma Cell Growth
Title: Lack of association between coding region of KCNE2 gene and the congenital long QT syndrome in an Iranian population
- Journal: Physiology and Pharmacology
- Year: 2016
- EID: 2-s2.0-84991711385
- Contributors: Pedram Torabian, A. Khosravi, M. Gholizadeh, M. Zahedi, M. Haghjoo, M. Oladnabi, Y. Jand, V. Khori
These articles cover a range of topics including cancer biology, drug resistance, and gene regulation in various types of cancer. Pedram Torabian has collaborated with different researchers on these studies, indicating a diverse research portfolio.
Research Timeline
Pedram Torabian’s research timeline traces their academic and professional journey, highlighting key milestones, projects, and collaborations. Beginning with their educational pursuits, including master’s degrees in medical science and human genetics, Pedram’s timeline encompasses research assistant roles at renowned institutions such as Razavi Hospital and the Arnie Charbonneau Cancer Institute. Through each phase of their career, Pedram has engaged in diverse research endeavors, expanding their expertise and making significant contributions to the field of computational biology and genetics.
