Indika Kahanda
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
Publications
115
Citations
1,601
Est. group size
—
Recurring co-author estimate
Active years
20
Publishing since 2007
Indika Kahanda works at the intersection of bioinformatics and computational text/data analysis, applying machine learning and large language models (LLMs) to problems such as predicting genetic and genomic patterns (e.g., chromatin accessibility, gene-function prediction), detecting health-related misinformation on social media, and improving biomedical information retrieval and automated grading systems. Much of the recent work focuses on using LLMs for tasks like sentiment analysis, misinformation detection in nutrition, and automated coding of medical records, alongside continued genomics-related predictive modeling.
Publication output fluctuated over the past decade with a peak around 2019, a dip in 2022 and 2024, and a sharp rise projected for 2026, suggesting variable but recently increasing activity.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- PanACRpred: Predicting Accessible Chromatin Regions in Pangenomes using Motif Chaining
bioRxiv (Cold Spring Harbor Laboratory) · 2026
- FuseGO
Proceedings of the ... International Florida Artificial Intelligence Research Society Conference · 2026
- RAMP
Proceedings of the ... International Florida Artificial Intelligence Research Society Conference · 2026
- When LLMs Disagree with Human Experts: Understanding LLM Annotation Failures in Nutrition Misinformation using Hierarchical Error Analysis
Zenodo (CERN European Organization for Nuclear Research) · 2026
- When LLMs Disagree with Human Experts: Understanding LLM Annotation Failures in Nutrition Misinformation using Hierarchical Error Analysis
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Multi-View Framework for Cross-Domain Nutrition Misinformation Detection in Social Media
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Multi-View Framework for Cross-Domain Nutrition Misinformation Detection in Social Media
Zenodo (CERN European Organization for Nuclear Research) · 2026
- FuseGO
DOAJ (DOAJ: Directory of Open Access Journals) · 2026
- PanACRpred: Predicting Accessible Chromatin Regions in Pangenomes Using Motif Chaining
Communications in computer and information science · 2026
- UNF-BMI at SemEval-2026 Task 3: Research Domain Criteria-Guided Large Language Models for Dimensional Aspect-Based Sentiment Analysis
2026
- A Multi-View Framework for Cross-Domain Nutrition Misinformation Detection in Social Media
2026
- When LLMs Disagree with Human Experts: Understanding LLM Annotation Failures in Nutrition Misinformation through Hierarchical Error Analysis using Seed Oil Narratives
2026
- A Comparative Analysis of In-Context Learning and Fine-Tuning for Biomedical Information Retrieval and Sentence Extraction Using Research Domain Criteria
2026
- MisInfoDiet: Operationalizing Dietary Guidelines as Computable Biomedical Knowledge to Support Evidence-Grounded Nutrition Misinformation Detection and Reasoning
Zenodo (CERN European Organization for Nuclear Research) · 2026
- MisInfoDiet: Operationalizing Dietary Guidelines as Computable Biomedical Knowledge to Support Evidence-Grounded Nutrition Misinformation Detection and Reasoning
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Zenodo (CERN European Organization for Nuclear Research)×14
- Faculty of 1000 Research Ltd×7
- bioRxiv (Cold Spring Harbor Laboratory)×5
- Figshare×4
- arXiv (Cornell University)×3
- Luís M. Rocha
Biochemistry, Genetics and Molecular Biology · Indiana University
- Bernard de Bono
Biochemistry, Genetics and Molecular Biology · Indiana University
- Matthew D. Turner
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Shengyang Wu
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Kyle Stirling
Biochemistry, Genetics and Molecular Biology · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile