AI in Genomics and Genetics

About :

AI-powered genomics: Accelerating discovery, precision medicine, and ethics.

Aim :

This 3-day virtual workshop equips researchers, bioinformaticians, and clinicians with cutting-edge AI applications in genomics and genetics. Participants will explore the latest advances in deep learning for variant detection, multi-omics integration, and precision medicine. Through expert-led sessions and live demos, attendees will learn to leverage AI tools for NGS data analysis, CRISPR design, and synthetic biology while addressing ethical challenges like bias and privacy. By blending theory with emerging research (e.g., foundation models, federated learning), the workshop empowers professionals to harness AI for faster, more accurate genomic insights—bridging the gap between computational innovation and real-world clinical impact.

Job Opportunity :

• AI Genomics Scientist – Develop DL models for biotech/pharma (e.g., Illumina, Tempus).
• Precision Medicine Analyst – Optimize PRS and therapeutic pipelines.
• Bioinformatics Engineer – Build scalable AI for NGS data (e.g., DNAnexus).
• CRISPR Design Specialist – AI-augmented gene editing (e.g., Editas, Synthego).
• Genomic Privacy Consultant – Implement federated learning in healthcare.

Objective :

• Apply deep learning models (e.g., DeepVariant, DNABERT) to analyze sequencing data.
• Design AI-optimized CRISPR guide RNAs for precision gene editing.
• Integrate multi-omics datasets (genomics, transcriptomics) using AI frameworks.
• Evaluate polygenic risk scores (PRS) with transformer-based approaches.
• Detect and mitigate bias in genomic AI models (e.g., ancestral diversity gaps).
• Implement federated learning for privacy-preserving genomic collaborations.
• Explore generative AI for synthetic genome design and therapeutic discovery.