Dr. Sita Sirisha Madugula is a trailblazer in AI-driven drug discovery, bioinformatics, and computational biology, with a focus on innovative ML approaches.
Her educational background includes a Ph.D. in Computational Biology and honors such as the Woman Scientist-A grant from India's Department of Science and Technology.
Dr. Madugula's research at CSIR-IICT led to the creation of an AI-driven open-source platform for anti-tubercular drug development.
Through innovative methods, she identified repurposable FDA-approved drugs for tuberculosis and other diseases.
She employs AI in bacterial biofilm analysis and anti-biofilm strategies, using deep learning models for image analysis.
In gene-editing research, she optimized CRISPR-Cas systems through machine learning models, enhancing gene-editing technology potential.
Dr. Madugula developed NRPreTo for nuclear receptor prediction and AI tools for drug-target interaction predictions.
Her interdisciplinary contributions extend to renewable energy, materials science, and computational techniques in diverse scientific fields.
Awarded the Woman Scientist-A grant, she is a regular contributor to international conferences and prestigious journals.
As a mentor and leader, Dr. Madugula supports scientific growth and excellence, contributing to STEM education and outreach.