Cambridge AI Club - June Theme - "Graph Neural Networks"

The AI Club brings together the Biomedical AI and Machine Learning community in Cambridge to discuss common themes and explore different topics and methodologies.

June event

These events open conversations to inform, inspire, and connect researchers at all levels, on topics within computational biology, AI and bioinformatics. We welcome scientists from across Cambridge to join us for talks, discussion, and networking over beer and pizza. 

For information on future AI Club for Biomedicine events, visit

June Theme - "Graph Neural Networks"

Chaitanya Joshi (PhD at University of Cambridge)
 “gRNAde: Geometric Deep Learning for 3D RNA inverse design”

Chaitanya K. Joshi is a PhD student at the Department of Computer Science, University of Cambridge, supervised by Prof. Pietro Liò. He is working on Graph Neural Networks and Geometric Deep Learning for biomolecule modelling and design, with a recent interest in RNA 3D structure and structure-based RNA design.


Layla Gerami (Ignota Labs)
 “Understanding Toxicity Mechanisms using Graph Learning”

Dr Layla Hosseini-Gerami obtained her BSc/MChem in Chemistry from the University of Leeds before completing a PhD in Andreas Bender’s group at the Centre for Molecular Informatics at the University of Cambridge in 2022. Her research is in the integration of bioinformatics, cheminformatics and machine learning to better understand the molecular mechanisms of drugs, for which she was awarded ‘Outstanding Thesis of the Year’. She is now co-founder and Chief Data Science Officer at Ignota Labs, a start-up focused on understanding and turning around drugs which have hit failures due to toxicity issues, which has recently in-licensed its first asset.

5.15pm – Doors (and bar)
5:30 – 6:30pm  – Talks and panel discussion
6:30pm  –  Pizza

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