Avi Ma'ayan

Avi Ma’ayan PhD is a Professor at the Icahn School of Medicine at Mount Sinai in the Department of Pharmacological Sciences and Director of the Mount Sinai Center for Bioinformatics. Dr. Ma’ayan is also Principal Investigator of the NIH-funded BD2K-LINCS Data Coordination and Integration Center (DCIC), and the Mount Sinai Knowledge Management Center (KMC) for Illuminating the Druggable Genome (IDG). Dr. Ma'ayan's interests are in applying graph theory algorithms, machine learning, dynamical modeling, and visualization methods for integrating -omics datasets collected from mammalian sources to better understand biological regulation at a global scale.

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Network Analysis in Systems Biology (Coursera) Coursera
Icahn School of Medicine at Mount Sinai

Network Analysis in Systems Biology (Coursera)

Dive into the world of Systems Biology with our introductory course on Network Analysis. Gain insights into data integration, statistical methods, and practical applications that are crucial for modern research in fields like Bioinformatics and Systems Pharmacology. This course will equip you with the knowledge to process raw genomic data, normalize it, identify differential expressions, cluster data, perform enrichment analysis, and construct networks.

Jun 8th 2026
5-12 Weeks
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center (Coursera) Coursera
Icahn School of Medicine at Mount Sinai

Big Data Science with the BD2K-LINCS Data Coordination and Integration Center (Coursera)

Dive into the world of big data science with this specialized course offered by Coursera in collaboration with the BD2K-LINCS Data Coordination and Integration Center. This course is designed to equip you with essential skills in handling, processing, and analyzing large datasets related to biological systems. From understanding metadata and ontologies to mastering data normalization techniques and leveraging RESTful APIs for data serving, this course covers a wide array of topics crucial for big data analysis in the biomedical field.

Jun 1st 2026
5-12 Weeks
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