Research Interests
A Biotechnology graduate with a strong foundation in molecular biology and translational research, specialized in qPCR-based biomarker analysis and nucleic acid diagnostics, with hands-on experience in RNA/DNA workflows, cDNA synthesis, assay standardization, and statistical interpretation. I have conducted independent and collaborative laboratory work across molecular biology, cancer biology, and bioinformatics. Currently, I am working on AI-powered computational pathology project automating IHC biomarker scoring in breast cancer using deep learning.
Research & Projects
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CurrentAI-powered IHC Biomarker Scoring in Breast Cancer — CMDN
Deep learning project automating ER, PR, HER2, and Ki-67 scoring across 1,216+ de-identified breast cancer cases at CMDN.
- Contributing to a deep learning project automating IHC biomarker scoring (ER, PR, HER2, Ki-67) across a de-identified dataset of 1,216+ breast cancer cases.
- Conducting feasibility review and infrastructure setup of a full computational pathology pipeline spanning stain normalization, WSI tiling, classical ML, and deep learning foundation models.
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Expression Analysis of circulating miR-34a and miR-146a in Healthy, Pre-diabetic and Diabetic Patients in Nepal
Undergraduate Thesis Project, Kathmandu University
- Pilot study to investigate the role of circulating miR-34a and miR-146a and their potential as biomarkers in diabetes progression.
- Obtained ethical clearance from the Institutional Review Committee (IRC), Dhulikhel Hospital, followed by participant recruitment under informed consent, and questionnaires.
- Collected and processed patient blood samples, performed HbA1c testing in collaboration with the Department of Biochemistry at Dhulikhel Hospital.
- RNA extraction and isolation, cDNA synthesis, and qPCR performed for expression profiling from serum samples.
- Applied ΔCt, ΔΔCt, and ROC curve analysis to compare expression across healthy, pre-diabetic, and diabetic groups.
- Conducted ROC curve and AUC statistical evaluation using Python (pandas, NumPy, Matplotlib, scikit-learn).
Poster Presentation Winner — World DNA Day 2025, Biotechnology Society of Nepal
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Comparative evolutionary studies of the hemoglobin gene in different vertebrates
Bioinformatics Project, Junior Year, Kathmandu University
- Utilized bioinformatics tools and genomic databases to analyze hemoglobin gene conservation, phylogenetics, and evolutionary dynamics across 11 vertebrate species.
- The study highlighted evolutionary conservation patterns, functional divergence, and syntenic relationships among vertebrate hemoglobin genes.
- Key methodologies included multiple sequence alignment (MSA), phylogenetic tree construction, synteny analysis, and functional annotation of alpha and beta hemoglobin genes.
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Development of Spirulina (microalgae) based cookies
Kathmandu University (August 8, 2023 – November 30, 2023)
- Implemented efficient methods for harvesting Spirulina, including filtration and drying techniques to ensure purity and quality of biomass for extracting phycocyanin dye.
- Prepared growth media and cultivated Spirulina under optimized growth parameters, including pH, temperature, and light exposure to achieve high biomass yield.
- Designed a nutrient-dense Spirulina-based food prototype, a health-conscious product leveraging microalgae's high protein and nutrient content.
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Physicochemical and Microbiological Assessment of Processed Drinking Water in Kathmandu Valley
Chemistry Project, Sophomore Year, Kathmandu University
- Assessed compliance with WHO, EPA, and NDWQS standards by running key lab tests: spectrophotometry, flame photometry, titration, and microbial assays.
- Performed membrane filtration-based microbial detection (M-Endo and EMB agar).
- Conducted statistical analysis and risk evaluation based on pH, EC, nitrate, phosphate, and contamination levels.