From exploring research ideas to first-author IEEE publication in one summer
Nidhi arrived with two separate research interests and her mentor helped her combine them into one project. She built an AI-driven multi-omics framework integrating gut and skin microbiome data to identify non-invasive biomarkers for PCOS and autoimmune disorders, using FastQC, Trimmomatic, Bowtie2, Kraken2 and Bracken pipelines with Random Forest, XGBoost and LightGBM models. The paper was published at IEEE ICCCA 2025.
Medicine & Health
First-author IEEE publication
IEEE ICCCA 2025, 2025
Nidhi Kulkarni, YRI Fellow
An 11th grader with one literature review on COPD and some Python and AI experience, but no peer-reviewed publication.
First-author IEEE publication combining AI and healthcare research with over 90% classification accuracy.
First-author publication at the 2025 IEEE 7th International Conference on Computing, Communication and Automation
Achieved over 90% classification accuracy
Built a full multi-omics pipeline with FastQC, Trimmomatic, Bowtie2, Kraken2 and Bracken
Applied SHAP and LIME analysis for model explainability
Skin Microbiome Signatures for Non-Invasive Detection of Autoimmune Disorders and Gut-Endocrine Axis Disruption in PCOS: An AI-Driven Multi-Omics ApproachRuthwik Dhama, First-author IEEE publication