MABC Cambridge
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About
The Machine Learning and AI in (Bio)Chemical Engineering Conference (MABC) is a specialist annual event hosted by the University of Cambridge. It serves as a rigorous scientific forum for discussing the intersection of advanced computational methods and chemical sciences. The conference focuses on the practical application and development of AI and machine learning tools specifically tailored for the chemistry and biochemical engineering sectors, providing a platform for academic and industrial researchers to share high-impact findings. Participants can expect a program rich in technical depth, covering topics such as property-driven computational molecular design, deep learning fine-tuning for experimental chemistry, and the integration of AI with robotic platforms for high-throughput experimentation. The event features keynote and invited speakers from prestigious institutions like IBM Research, Astex Pharmaceuticals, and the University of Edinburgh. Beyond the formal presentations, the conference emphasizes peer-to-peer learning through poster sessions and oral presentations selected via a competitive abstract submission process that welcomes newcomers and experts alike. This conference is uniquely designed for developers and advanced users who require a deep understanding of how machine learning can be applied to complex engineering challenges. It is not a general AI event; rather, it targets specialists interested in niche areas like polymer development, life cycle analysis, and quantum computing synergies for chemical property predictions. By attending, researchers and engineers gain insights into benchmarking various machine learning methods and simplifying user experiences for complex software implementations in the laboratory environment. Hosted at the Cambridge West Department of Computer Science and Technology, the 2026 iteration is chaired by Professor Pietro Lio. The event is distinguished by its academic leadership from a consortium of top UK universities, including Southampton, Leeds, UCL, and Manchester. Unlike broader tech summits, MABC provides a focused environment that facilitates networking through dedicated evening dinners and refreshment breaks, ensuring that every attendee can engage directly with the scientific leadership in their specific field.
Pros & Cons
Academic leadership from five major UK universities including Cambridge and UCL.
Targeted networking opportunities with specialists in AI and chemistry.
Comprehensive registration fee includes meals and a formal networking dinner.
Competitive pricing with a significant discount for early bird registrants.
Platform for researchers to present work through posters or oral sessions.
The event is held exclusively in person with no mentioned virtual attendance option.
Highly technical content may be too advanced for general AI enthusiasts.
Limited window for early bird pricing which ends several weeks before the event.
Attendance is restricted to a physical venue with limited seating capacity.
Use Cases
Research scientists can submit abstracts to present their work on ML method development to a panel of expert peers and industry leaders.
Biochemical engineers can attend to learn about the latest software implementations for polymer development and property prediction.
Industry developers can benchmark their AI methods against current academic standards and discover synergies with high-throughput robotic platforms.
PhD students can share poster presentations on chemical nanoplasmonics or molecular design to gain visibility in the scientific community.
Academic leaders can collaborate with colleagues from other institutions to develop new strategies for deep learning in experimental chemistry.
Platform
Features
• keynote speaker sessions
• poster presentations
• academic consortium leadership
• specialist focus on ml/ai
• abstract submission portal
• networking dinner
• oral presentation slots
• invited expert talks
FAQs
What is the primary focus of the 9th MABC conference?
The conference targets developers and advanced users of AI and machine learning within the context of chemistry and biochemical engineering. It covers software implementations, experimental case studies, and method development.
How can I participate as a speaker or presenter?
Interested parties can submit an abstract of up to 400 words for posters or oral presentations. The deadline for oral presentations is June 1st, and the deadline for posters is June 13th.
Are there any discounts available for early registration?
Yes, an early bird rate of £95 is available until Friday, May 16th. After this date, the registration fee increases to the full rate of £150.
Where will the conference take place in 2026?
The event is an in-person only conference held at the University of Cambridge, specifically in the Department of Computer Science and Technology on the Cambridge West site.
What topics are suitable for abstract submission?
Potential topics include AI for polymer development, benchmarking ML methods, machine learning in life cycle analysis, and coupling AI with high-throughput experimentation or robotic platforms.
Pricing Plans
Early Bird
GBP95.00 / one-time• Access to all event sessions
• Refreshments for both days
• Conference networking dinner
• Networking opportunities
• Digital abstract template access
Full Rate
GBP150.00 / one-time• Access to all event sessions
• Refreshments for both days
• Conference networking dinner
• Networking opportunities
• Digital abstract template access
Job Opportunities
There are currently no job postings for this AI tool.
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