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

• ​18:20 Presentations

  • ​Using graphs to understand the complexity of biological systems - from graph analytics to digital twins by Adam Amara, CEO at TuringDB

  • ​Unified Graph AI and Analytics in healthcare using GNext and TuringDB by Mohammed Amer, Senior Researcher at Fujitsu Research

  • ​CANOPY, a graph ML model used to generate chemical-producing microbes by Jake Bowden, Bioinformatician at Twig Bio

• ​19:15 Panel discussion

• ​19:40 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.