Profile Picture

Hi! I'm Kusal Debnath. I am pursuing my PhD at Virginia Commonwealth University, USA. My research focuses on leveraging artificial intelligence and machine learning techniques to accelerate the drug discovery process.

Download CV
Artificial Intelligence Drug Discovery Cheminformatics Molecular Modeling Large Language Models

Latest Updates

September 9, 2026

Our work titled "Combination Overlap in Drug Synergy Benchmarks: An Audit of Cell-Line Holdout Protocols" got selected for the proceedings at the Pacific Symposium on Biocomputing (PSB) 2027!

May 19, 2026

Our work titled "Attention-Based Multi-Omics Fusion for Drug Synergy Prediction" got selected as a full paper at the 17th ACM Conference on Bioinformatics, Computational Biology and Health Informatics (ACM BCB) 2026!

Publications

Attention-Based Multi-Omics Fusion for Drug Synergy Prediction
Kusal Debnath, Pratip Rana, Preetam Ghosh
Proceedings of the 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, 2026
Paper Code
A survey on deep learning for drug-target binding prediction: models, benchmarks, evaluation, and case studies
Kusal Debnath, Pratip Rana, Preetam Ghosh
Briefings in Bioinformatics, 2025
Paper
24R,25(OH)2D3 regulates tumorigenesis in estrogen sensitive laryngeal cancer cells via membrane-associated receptor complexes in ER+ and ER− cells
Cydney D Dennis, D Joshua Cohen, Kusal Debnath, Nofrat Schwartz, Brock P Lodato, Jonathan T Dillon, Tillat Batool, Matthew S Halquist, Preetam Ghosh, Zvi Schwartz, Barbara D Boyan
International Journal of Cancer, 2025
Paper
GramSeq-DTA: A Grammar-Based Drug–Target Affinity Prediction Approach Fusing Gene Expression Information
Kusal Debnath, Pratip Rana, Preetam Ghosh
Biomolecules, 2025
Paper Code