Programming Biology with Genome-scale AI
LIVE WEBINAR
Date: 10 August 2026
Time: 3:00 - 5:00 PM (Berlin / CEST)
ONLINE - ZOOM
Speaker: Ben Fishman, PhD (Genomic Intelligence)
He works on applying genome-scale AI to biological discovery and programmable biology. His work focuses on DNA language models, foundation models for genomics, and practical AI systems that enable researchers to analyze, interpret, and engineer genomic sequences.
overview
Artificial intelligence is transforming the way we understand and engineer biology. Recent advances in genome-scale foundation models are enabling researchers to predict gene regulation, interpret genetic variants, and design functional DNA sequences with unprecedented accuracy.
In this webinar, Ben Fishman from Genomic Intelligence will introduce DNA language models and demonstrate how they are addressing some of the most important challenges in modern genomics. The session will explore real-world applications in biomedicine and biotechnology, discuss current limitations of these models, and examine how AI is reshaping biological research.
Participants will also receive a live introduction to the Genomic Intelligence Platform, including access through the web application, API, and MCP server. The webinar will conclude with a discussion on integrating genome-scale AI models into modern agentic research environments such as Codex, Claude for Science, and Phylo to accelerate biological discovery and programmable biology workflows.
Intended audience
This webinar is designed for:
- Researchers in genomics and computational biology
- Bioinformaticians and data scientists
- AI researchers working in life sciences
- Biotechnology and pharmaceutical professionals
- Students and academics interested in AI-driven genomics
- Anyone interested in programmable biology and genome-scale foundation models
Learning Outcomes
- Fundamentals of DNA language models and genome-scale AI
- Predicting gene regulation using foundation models
- Interpreting genetic variants with AI
- Designing functional DNA sequences
- Applications in biomedicine and biotechnology
- Current capabilities and limitations of genome-scale AI
- Using the Genomic Intelligence Platform via the web interface, API, and MCP server
- Integrating genomic AI with agentic systems, including Codex, Claude for Science, and Phylo
COst overview
Cancellation Policy:
> 30 days before the start date = 30% cancellation fee
< 30 days before the start date= No Refund.
Physalia-courses cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.