Biotechnology · Bioinformatics · Machine Learning · Health Innovation
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Research ·
I am Co-founder and COO of Biotech Wallah Pvt Ltd, where we are building an early cognitive screening tool using voice, eye, and cognitive biomarkers. My work connects experimental biology, computational research, and the clinical and operational work needed to bring health technologies toward deployment.
From Bhutan · B.Tech in Biotechnology, NIIT University (2022–2026) · CGPA: 9.8/10 · B.Tech program-level bronze medalist
We are developing a screening tool that brings together voice, eye, and cognitive biomarkers for early cognitive screening.
As Co-founder and COO, I work on regulatory strategy, clinical validation planning, data governance, and go-to-market strategy, including hospital partnerships to support clinical benchmarking.
| Project | Approach | Research outcome |
| :--- | :--- | :--- |
| Lung cancer biomarker discovery · 2025 | Multi-dataset GEO analysis; Random Forest, LASSO, SVM, and Decision Trees; network and enrichment analysis | Identified TOP2A, PRC1, and MCM4 as candidate biomarkers. First-author IEEE publication at ICRITO 2025. |
| Keratoconus RNA-Seq analysis · 2024 | 10 keratoconus vs. 10 control myopia samples; FastQC, HISAT2, featureCounts, EdgeR, and functional enrichment | Prioritized FUBP3, ZC3H11A, DYNC1LI2, and RNMT as candidates for further study. |
I led both projects from start to finish, working with the collaborators and mentors credited in the project repositories. These repositories document the research; the original code and Galaxy exports are unavailable.
Lung cancer study — methods and contribution
Integrative Bioinformatics and ML Strategy for Identifying Lung Cancer Biomarkers
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Led the study from planning through analysis, interpretation, and reporting. The documents reference ten GEO accessions and describe an eight-dataset discovery analysis; the exact subset remains to be established.
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Applied Random Forest, LASSO, SVM, and Decision Tree approaches for biomarker investigation.
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Used STRING, Cytoscape, and MCODE for interaction network analysis, alongside GO and KEGG enrichment.
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Presented the study at the 12th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO 2025), Amity University, Noida.
Keratoconus study — workflow and contribution
RNA-Seq Data Analysis of Keratoconus and Control Myopia Patients
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Led the capstone project with Rainy Varshney under Dr. Utkarsh Raj's mentorship.
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Conducted literature review, sequencing quality control with FastQC, alignment with HISAT2, and gene-level quantification with featureCounts.
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Analyzed differential expression with EdgeR using FDR, p-value, and log fold-change filters.
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Investigated corneal degeneration hypotheses through Gene Ontology, Reactome, WikiPathways, and KEGG enrichment.
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Used NCBI, GEO, and Galaxy as data and workflow resources.
Research Intern · INMAS, DRDO | January–July 2026
Worked in the Radiation Biosciences Division at INMAS, DRDO, with Dr. I Prem Kumar. Investigated gamma radiation-induced developmental toxicity and neurotoxicity in zebrafish models, and evaluated cystamine dihydrochloride as a candidate radioprotective countermeasure. Performed apoptosis assays, neural crest development analysis, intracellular ROS measurements, and RNA expression analysis.
Summer Intern · CSIR-CCMB | May–July 2025
Studied cholesterol depletion in lovastatin-treated Neuro2a and HN2 cells through BCA, MTT, and Amplex Red assays. Compared 24- and 48-hour exposure durations, quantified protein-normalized cholesterol, and analyzed experimental data using GraphPad Prism. Supervised by Prof. Amitabha Chattopadhyay, with guidance from Dr. Shishu Pal Singh.
| Area | Tools and methods |
| :--- | :--- |
| Transcriptomics | RNA-Seq, FastQC, HISAT2, featureCounts, EdgeR, limma, differential expression, multi-dataset analysis |
| Machine learning | Random Forest, LASSO, SVM, Decision Trees |
| Biological interpretation | GEO, NCBI, TCGA, STRING, Cytoscape, MCODE, Enrichr, Reactome, WikiPathways, KEGG, Gene Ontology, Galaxy |
| Experimental research | Zebrafish experimentation, cell culture, PCR, microscopy, quantitative assays |
| Research software | GraphPad Prism, SnapGene, SwissDock, AutoDock |
| Health-tech operations | Regulatory strategy, clinical validation design, data governance, go-to-market planning |
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B.Tech program-level bronze medalist, NIIT University · CGPA: 9.8/10
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Winner, Boltzhack Hackathon 2025
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Winner, Enigmatic Enclave Business Case Study Competition, BITS Pilani · 2025
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First Runner-up, Hult Prize NU · 2022
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First Runner-up, National Science Day Quiz · 2025
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Best Interdisciplinary Head, Learner’s Premier League · 2022
My personal digital portfolio uses HTML, CSS, and JavaScript to bring together my projects, skills, and experience.
I’m interested in connecting with people working in bioinformatics, biomedical machine learning, and health-tech. Connect on LinkedIn →