CRISPR Base Editing Research

We develop artificial intelligence and deep learning methods for predicting CRISPR base editing efficiency and editing outcomes using sequence, genomic, and epigenomic features.

Fatemeh Sadat Masoumi
Fatemeh Sadat (Nadia) Masoumi
PhD Student
Computer Science
The University of Texas at San Antonio
📧 fatemeh.masoumi@my.utsa.edu
📧 Fatemeh.masoumi@utsa.edu
🔗 LinkedIn Profile
🎓 Google Scholar
Jianhua Ruan
Jianhua Ruan, PhD
Professor
Computer Science
The University of Texas at San Antonio
📧 Jianhua.Ruan@utsa.edu
🎓 Google Scholar

Research Focus

CRISPR Base Editing
Gene Therapy
Genome Editing
AI for Genomics
Computational Biology
Bioinformatics
Genomics
Epigenomics
Precision Medicine
Biomedical Data Science
RNA & DNA Editing
Predictive Modeling

Interested in Collaboration?

We welcome research collaborations related to CRISPR base editing, artificial intelligence, computational biology, genomics, and biomedical data science. Please feel free to contact us for collaboration, research discussions, or related opportunities.

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