AI and Graphs for Biotechnology

An evening on how graph-structured data and AI are being applied across biotech. From strain design and multi-omics to knowledge graphs over biomedical data. For engineers, data scientists, computational biologists, and founders working at the intersection of biology and AI. Venue: UCL Torrington Place Agenda 18:00 Welcome 18:15 Presentations Using graphs to understand the complexity of biological systems - from graph analytics to digital twins by Adam Amara, CEO at TuringDB CANOPY, a graph ML model used to generate chemical-producing microbes by Jake Bowden, Bioinformatician at Twig Bio 19:15 Panel discussion 20:00 Networking, food and drinks About the hosts TuringDB is a high performance in-memory, columnar graph database built for real-time multi-hop analytics born out of biopharma work. twig is a London-based bioengineering company combining AI with a fully automated lab to design microbes that produce sustainable ingredients at scale.