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9th Machine Learning and AI in (Bio)Chemical Engineering Conference

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About this event

What to expect

The 9th Machine Learning and AI in (Bio)Chemical Engineering Conference brings together leading researchers and practitioners advancing the intersection of artificial intelligence, machine learning, and chemical sciences. Taking place July 6-7, 2026, at the Cambridge WEST site, this two-day conference continues a distinguished series co-organised by the Innovation Centre in Digital Molecular Technologies (iDMT) at the University of Cambridge.

Conference Origins and Community

This conference series has evolved from collaborative research initiatives focused on robotics and automation in chemical development, involving five leading UK universities: Glasgow, Leeds, Cambridge, UCL, and Southampton. Over nine iterations, the conference has grown alongside the expanding academic community in digital chemistry, chemical engineering, and biochemical engineering, with each year's programme shaped by input from this collaborative network.

What to Expect

The 2026 conference will feature:

  • Keynote and invited lectures from global research leaders in ML/AI applications for chemistry and (bio)chemical engineering
  • Community-submitted presentations selected from researchers across academia and industry
  • Networking opportunities with practitioners working at the forefront of digital molecular technologies
  • Latest developments in robotics, automation, and computational approaches to chemical development

Who Should Attend

This conference is ideal for:

  • Researchers in chemical engineering, biochemical engineering, and computational chemistry
  • Data scientists and machine learning practitioners working in molecular sciences
  • Academic and industrial researchers exploring AI-driven approaches to chemical development
  • Graduate students and postdocs specialising in digital chemistry or chemical process automation
  • Anyone interested in how machine learning is transforming chemical and biochemical engineering

The conference provides a unique opportunity to engage with the growing community pushing the boundaries of what's possible when cutting-edge AI meets traditional chemical engineering disciplines. Whether you're developing new algorithms for molecular property prediction, building automated synthesis platforms, or applying machine learning to process optimisation, you'll find kindred spirits and fresh perspectives.

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