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🔗 Collaborations 🔗
Pushing the boundaries of bioinformatics, genomics and AI-driven health solutions through impactful partnerships. I’m always open to meaningful collaborations with researchers, startups, and industry leaders.
Current PhD Research
✔️ Development of Intelligent Agents for Personalized Genomic
Interpretation using Large Language Models (LLMs).
✔️ Designing robust AI architectures for multi-omics integration
and scalable health insights.
✔️ Exploring ethical, regulatory, and privacy frameworks for
AI-driven genomics.
✔️ Building interpretable pipelines for PRS (Polygenic Risk Scores)
and trait-based risk stratification.
✔️ Deploying real-world applications of AI in personalized wellness
and preventive care.
Future Collaboration Opportunities
🧬 Co-develop next-gen AI tools for clinical genetics & preventive
wellness.
🔬 Partner on grant-funded research in AI model explainability for
genomics.
🔗 Collaborate on federated learning or privacy-preserving
data-sharing frameworks.
🤝🏻 Joint research publications, startup incubation, or tech
transfer for practical healthcare impact.
🌍 Cross-institutional projects integrating multi-omics, wearable
data, and population studies.
Academic & Industry Partnerships
🤝🏻 Open for meaningful collaborations with universities, biotech
firms, digital health startups, and research groups interested in
advancing AI-driven genomic medicine.
🤝🏻 Let’s co-create solutions that translate research into
real-world health impact.
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