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Mohammad Mobashir

Dr. Mohammad Mobashir

Researcher, Department of Biomedical, Laboratory Science, NTNU Norwegian University of Science and Technology, Norway, United States

location_on United States

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Ph.D. Research Scientist Biomedical & Life Science Expertise Computational Biology
Cancer Research Cancer Biology Medicine Oncology Allergy & Clinical Immunology Biology/Life Sciences Molecular Biology Biochemistry Biotechnology & Bioengineering Bioinformatics Machine Learning

About Mohammad

Dr. Mohammad Mobashir is a researcher and academic specializing in biochemistry, immunology, cancer systems biology, and personalized medicine. He has extensive experience in biomedical research, computational biology, and molecular life sciences, with expertise in analyzing biological networks, gene expression profiling, and high-throughput data integration. Dr. Mobashir has worked at several internationally recognized institutions including the Norwegian University of Science and Technology (NTNU), Karolinska Institute in Sweden, and King Abdulaziz University in Saudi Arabia. His research focuses on understanding molecular signaling pathways, immune system interactions, and disease mechanisms using both computational and experimental approaches. He has authored numerous peer-reviewed publications in international journals and has supervised multiple PhD, master’s, and bachelor’s students. His work integrates systems biology, bioinformatics, and molecular biology to contribute to advancements in cancer research, infectious diseases, and personalized medicine.

Services Offered

Scientific and Technical Research

Deep-dive investigation into scientific or technical topics, often involving data analysis, experiment design, and evidence synthesis.

Systematic Literature Review

Structured, comprehensive reviews of published research to answer specific questions, often used in academic or evidence-based work.

Big Data Analytics

Analysis of large-scale datasets using distributed computing tools to uncover trends, correlations, and real-time insights.

Predictive Modeling

Building models that forecast future outcomes using historical data, machine learning, or statistical approaches.

Algorithm Design – ML (Machine Learning)

Development of intelligent algorithms that learn from data, including classification, regression, recommendation systems, and more.

Expertise

check_circle Cancer Research
check_circle Cancer Biology
check_circle Medicine
check_circle Oncology
check_circle Allergy & Clinical Immunology
check_circle Biology/Life Sciences
check_circle Molecular Biology
check_circle Biochemistry
check_circle Biotechnology & Bioengineering
check_circle Bioinformatics
check_circle Machine Learning

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Profile Details

  • person

    Member since

    2026

  • location_on

    Location

    United States

  • language

    Languages

    English

  • schedule

    Availability

    Available on Request

  • payments

    Hourly rate

    $100

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