MohammadSadeq Mottaqi

City University of New York

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sadeq.mottaqi@gmail.com

New York, NY, USA

PhD Candidate in Biochemistry at CUNY Computational Biologist

šŸŒ Exploring the Frontier of Precision Medicine and Biomarker Discovery

šŸ§¬ I am a dedicated researcher passionate about leveraging multi-omics data and advanced machine learning techniques to unravel complex biological processes and improve disease diagnostics and treatments. My work predominantly focuses on Alzheimerā€™s disease, where I employ integrative omics analyses to identify novel biomarkers and understand disease mechanisms.

šŸ“Š Currently, I am engaged in several exciting projects:

Integrative Multi-Omics for Alzheimerā€™s Disease: Developing predictive models to identify AD biomarkers by integrating genomic, transcriptomic, and other omics data.

Personalized Biomedical Knowledge Graphs for Drug Repurposing: Utilizing large language models to innovate drug repurposing strategies, enhancing targeted therapeutic interventions.

Precision Medicine Initiatives: Harnessing machine learning to dissect and interpret complex datasets, aiming to translate these insights into clinical applications.

šŸ‘„ Open to collaborations that push the boundaries of bioinformatics and personalized medicine. I am particularly interested in projects that utilize AI to address pressing challenges in healthcare.

šŸ“ My research has been published in several academic journals and presented at international conferences, contributing to the scientific communityā€™s understanding of disease pathology and treatment potential.

šŸ”— Connect with me to discuss research, innovation, and opportunities in biotechnology and health informatics.

news

Oct 22, 2015 Curious always!

latest posts

selected publications

  1. MLC
    Contribution of machine learning approaches in response to SARS-CoV-2 infection
    MohammadSadeq Mottaqi,Ā Fatemeh Mohammadipanah,Ā andĀ Hedieh Sajedi
    Informatics in Medicine Unlocked, 2021