AI x Bio conference 2026 - submit an abstract by 27 April

[Jun Cheng]

Dear all,

I’m excited to be co-organizing the AI x Bio 2026 conference (8–11 June) in Cambridge, UK, alongside Ben Lehner, Mo Lotfollahi, Debbie Marks, Noelia Ferruz, and Jussi Taipale. We already have a fantastic lineup of speakers confirmed! Submit your abstract by 27 April.

Kind regards,

Jun Cheng

Research Scientist

Google DeepMind

 

Submit an abstract by 27 April | Conference dates: 8–10 June View in browser Learning and training Illustrate how AI and machine learning can help solve complex biological problems! Dear Valued Colleague , Share your research on the transformative

Submit an abstract by 27 April | Conference dates: 8–10 June   View in browser     Learning and training           Illustrate how AI and machine learning can help solve complex biological problems!   Dear Valued Colleague ,   Share your research on the transformative role of AI in advancing biological studies at the forefront of biotechnology.   📅 AI x BIO conference dates: 8-10 June 2026 📍 Location: Wellcome Genome Campus, UK   We have extended the abstract deadline until 27 April - don’t miss this opportunity to receive valuable feedback from leading experts in the field.   Join an exceptional line-up of speakers to explore groundbreaking discoveries and discuss how AI and machine learning are revolutionising our ability to tackle complex biological challenges.   We are particularly keen to receive submissions focused on any of the themes listed below:   Solving the gene regulatory code Solving proteins (data, structure and design) Solving chemistry and therapeutics Solving cells, tissues and organs AI methods development   We also welcome submissions that address the broader applications of AI in biology.   This conference will spotlight both methodological breakthroughs and the biological and translational insights made possible by high-quality data and robust models. It is a rare chance to showcase your work as part of a pioneering programme designed for researchers in computer, biomedical, and biological sciences.   Why Attend?   Connect with global leaders in the field Expand your professional network Exchange innovative ideas across disciplines   We look forward to welcoming you in June!         Key dates   Abstract deadline: 27 April   Registration deadline  (In-person): 11 May   Registration deadline (Virtual): 1 June     Committee    Ben Lehner Wellcome Sanger Institute, UK   Mo Lotfollahi Wellcome Sanger Institute, UK   Debbie Marks Harvard Medical School, USA   Noelia Ferruz Centre for Genomic Regulation, Spain   Jussi Taipale Wellcome Sanger Institute, UK and Karolinska Institute, Sweden   Jun Cheng Google DeepMind, UK     Illustrate how AI and machine learning can help solve complex biological problems!   Dear Valued Colleague ,   Share your research on the transformative role of AI in advancing biological studies at the forefront of biotechnology.   📅 AI x BIO conference dates: 8-10 June 2026 📍 Location: Wellcome Genome Campus, UK   We have extended the abstract deadline until 27 April - don’t miss this opportunity to receive valuable feedback from leading experts in the field.   Join an exceptional line-up of speakers to explore groundbreaking discoveries and discuss how AI and machine learning are revolutionising our ability to tackle complex biological challenges.   We are particularly keen to receive submissions focused on any of the themes listed below:   Solving the gene regulatory code Solving proteins (data, structure and design) Solving chemistry and therapeutics Solving cells, tissues and organs AI methods development   We also welcome submissions that address the broader applications of AI in biology.   This conference will spotlight both methodological breakthroughs and the biological and translational insights made possible by high-quality data and robust models. It is a rare chance to showcase your work as part of a pioneering programme designed for researchers in computer, biomedical, and biological sciences.   Why Attend?   Connect with global leaders in the field Expand your professional network Exchange innovative ideas across disciplines   We look forward to welcoming you in June!     Click to find out more about this conference     Key dates   Abstract deadline:  27 April   Registration deadline (In-person):  11 May   Registration deadline (Virtual):  1 June     Committee    Ben Lehner Wellcome Sanger Institute, UK   Mo Lotfollahi Wellcome Sanger Institute, UK   Debbie Marks Harvard Medical School, USA   Noelia Ferruz Centre for Genomic Regulation, Spain   Jussi Taipale Wellcome Sanger Institute, UK and Karolinska Institute, Sweden   Jun Cheng Google DeepMind, UK       Conference speakers   Pushmeet Kohli (Keynote speaker) Google DeepMind, UK   Jernej Ule Francis Crick Institute, UK   Phil Holliger MRC Laboratory of Molecular Biology, UK   Gabriel Rocklin Northwestern University Feinberg School of Medicine, USA   Paola Picotti Institute of Molecular Systems Biology, Switzerland   Fajie Yuan Westlake University, China   Shek Azizi Google DeepMind, UK Joshua Welch University of Michigan, USA   Pranam Chatterjee University of Pennsylvania, USA   Georg Seelig University of Washington, USA   Hannes Stark Massachusetts Institute of Technology, USA   Peter Koo Cold Spring Harbor Laboratory, USA   Carl de Boer The University of British Columbia, Canada   Richard Bonneau Roche, USA   Guillaume Jaume University of Lausanne, Switzerland     Other learning and training events that may interest you   Conferences   Courses   Courses outside the UK   Other learning and training events that may interest you     Conferences   Courses     Courses outside the UK     Click here to unsubscribe from all our email communications     Image credit: Colour photography by Ben McDade for Connecting Science   Wellcome Connecting Science Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK Genome Research Limited, a charity registered in England with number 1021457 and a company registered in England with number 2742969, whose registered office is 215 Euston Road, London, NW1 2BE.