Junaid Ahmed Khan Ghori

I am a passionate Bioinformatics Scientist and Full-Stack Developer blending the fields of genomics, data science, and software engineering to tackle complex biological and technical challenges. With over 7 years of experience spanning genomics research, web application development, and AI-driven solutions, I thrive at the intersection of science and technology.

My mission is to build innovative tools that make advanced genetic insights accessible through intuitive, secure, and scalable tech platforms.

Beyond research and development, I am deeply passionate about exploring different cultures through travel, reading thought-provoking books, and creating innovative tech solutions that solve real-world problems.

• "Paradigm shift in Nutritional Science: Using Machine Learning to Predict Macronutrient Requirements" - ACM Digital Library; CODS COMAD 2022
• "Unlocking Weight Loss Potential: Investigating the Impact of Personalized Nutrigenetic-Based Diet in an Indian Population" - Case Report
• "Genetic Polymorphisms Associated with Insulin Resistance Risk in Normal BMI Indians: A focus on INTS10, LINC01427-LINC00261, SENP2, and SLC22A11 Gene Polymorphisms"
• "Insulin Resistance Risk in Normal BMI Individuals: Investigating the Role of Genetic Polymorphisms in RNF138, ABCA1, and ESRRG-GPATCH2 Genes - A Case-Control Study in the Indian Population" - JBMS 2024
• "Unveiling Genetic Associations: Investigating CLDN16, GRID2, NRG3, and CACNG4 Gene Polymorphisms with Insulin Resistance Risk Among Normal BMI Individuals in the Indian Population"

• Advanced Bioinformatics Techniques (Coursera)
• Machine Learning Specialization (Stanford University Online)
• AI for Medicine (deeplearning.ai)

• Genetic Data Analysis (NGS, Microarrays, GWAS, PRS)
• Python, R, and Bioinformatics Pipelines
• Full-Stack Web Development (HTML, CSS, JavaScript, FastAPI)
• Machine Learning, Agentic AI & Model Development
• Database Design & API Development
• Cloud Deployment (GCP) & CI/CD
• Data Visualization and Dashboard Development
• Scientific Writing & Research Communication

My ambition is to bridge the gap between cutting-edge bioinformatics research and practical, user-friendly software solutions. By combining robust full-stack development with deep domain knowledge in genetics, I aim to empower individuals and organizations to harness actionable health data and build a healthier, more informed world.