Bhavesh Kumar Choubisa
Research areas: Biochemistry, Genetics and Molecular Biology · Cancer Research · Cancer-related molecular mechanisms research · Topic Modeling · Machine Learning in Bioinformatics
0009-0008-1558-2775
About
I am Bhavesh Kumar Choubisa, a Ph.D. Research Scholar at ICAR-Indian Agricultural Statistics Research Institute (ICAR-IASRI), PUSA, New Delhi, India. My research focuses on machine learning, deep learning, and natural language processing (NLP) applications in bioinformatics, particularly in the analysis and classification of non-coding RNA (ncRNA).
My work includes developing Named Entity Recognition (NER) models for identifying biological entities, relation extraction frameworks to link ncRNA with stress conditions, and deep learning-based classification models to distinguish lncRNA and coding RNA (cRNA).
I am also actively working on aspect-based sentiment analysis (ABSA) for educational reviews, leveraging transformer-based architectures such as BERT, Longformer, and XGBoost models. Additionally, I have a keen interest in explainable AI (XAI) to enhance the interpretability of machine learning models.
I have presented my research at national and international conferences and aim to contribute to the advancement of AI-driven bioinformatics solutions.
Research Interests:
• Machine Learning and Deep Learning in Bioinformatics
• Natural Language Processing (NLP) for Biomedical Text Mining
• Named Entity Recognition (NER) & Relation Extraction
• Aspect-Based Sentiment Analysis (ABSA)
• ncRNA Classification and Functional Analysis
• Explainable AI in Bioinformatics
Professional Memberships & Activities:
• Member of STAR Conference
• Contributor to open-source AI projects
Employment
Employment history is unavailable.
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.