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7th Machine Learning and AI in Bio(Chemical) Engineering Conference

02-03 July 2024
In person-only event

Machine Learning and AI in Bio(Chemical) Engineering Conference series is co-organised by research groups of the Universities of Cambridge, Leeds, Glasgow, Southampton, and University College London. This series of conferences grew from two collaborative research projects on robotics and automation in chemical development. The conference will feature keynote and invited lectures from global champions of research in ML/AI in chemistry/(bio)chemical engineering, and regular lectures selected from the community submissions.

The Conference

Conference Agenda

The event will be held at the Department of Chemical Engineering and Biotechnology,

Philippa Fawcett Dr, Cambridge CB3 0AS

July 02th, Day one

10:00 – 11:00    Welcome and refreshments

11:00 – 12:00    Andreas Bender (Keynote)Using Chemical and Biological Data for Drug Discovery – Methods, Applications, and Pitfalls

12:00 – 12:25    Jiayun PangEnhancing Drug Discovery with Contrastive-Finetuned Sentence-Transformers 

12:25 – 12:50    Wenyao Lyu - DoE-SINDy: an automated framework for model generation and selection in kinetic studies 

12:50 – 14:00    Lunch

14:00 – 14:35    Adam ClaytonBayesian Self-Optimisation for Multistep Flow Processes and Mixed Variable Reactions 

14:35 – 15:00    Johannes Seiffarth - Beyond observation in microbial live-cell imaging: Exerting control on microbial populations using real-time AI image analysis and response triggering

15:00 – 15:25    Jiaru Baitwa: A dynamic knowledge graph Python package for interoperable chemistry 

15:25 – 15:35    Break

15:45 – 16:10    Maximilian Bloor - PC-Gym: Reinforcement Learning Environments for Process Control 

16:10 – 16:35    Arun Pankajakshan -  Bayesian Classification with Active Learning for Closed-loop Identification of Feasible Operating Region in Continuous Flow Crystallization 

16:35 – 17:00    Henrique Marçon -  AI-driven site selectivity in halogenation chemistry 

17:00 – 19:00    Networking and dinner

19:00                 End of day 1

July 03th, Day two

09:00 – 09:15    Coffee reception

09:15 – 09:50    Michele AssanteAutomation of ab-initio calculations for data-driven reaction models: integrating mechanistic DFT calculations into reaction feasibility routines

09:50 – 10:15    Hugo BellamyIncorporating uncertainty information into drug design problems 

10:15 – 11:15    Fernanda Duarte (Keynote) - Bridging the Gap: Enhancing Retrosynthesis Prediction for Heterocycle compounds

11:15 – 12:50   Poster Session

12:50 – 14:00    Lunch

14:00 – 14:25    Thomas AndrewsA Self-Optimizing Platform for Continuous Flow Transfer Hydrogenations Using Catalytic Static Mixer Technology 

14:25 – 15:15    Workshop - Reactwise (Henrique Marçon)

15:15 – 15:40    Emmanuel AgunloyeApplication of Artificial Neural Networks Classifier for Rapid Identification of Chemical Reactor Models 

15:40 – 16:05   Aniket Chitre - Accelerating Liquid Formulations Design using Lab Automation and Machine Learning

16:05 – 16:35    Closing Remarks & Prizes 

16:35                  End of day 2



Confirmed speakers

Keynote speakers for 2024 edition


Andreas Bender

University of Cambridge, UBB Cluj, UMF Cluj, and Pangea Bio

Screenshot 2024-04-30 at 09.29.34.png

Fernanda Duarte

University of Oxford


No-code Machine Learning in Chemistry: ReactWise
Alexander Pomberger & Daniel Wigh

Abstract Submissions

The 7th International Conference on Machine Learning and AI in (bio)Chemical Engineering will take place on July 02-03 2024. We are requesting abstracts for posters and talks related to this theme. Potential topics/submissions include but are not limited to:

  • Software implementations of key methods

  • Experimental case studies using ML

  • Method development, particularly those that simplify user experience

  • Benchmarking of ML methods


Abstracts may be up to 400 words and optionally include explanatory figures. We emphasise that abstracts should include sufficient introduction for newcomers. 


The deadline for submissions is 5 May 2024.



02-03 July 2024
Hosted by the University of Cambridge

Fees include access to the event, refreshments for both days and conference networking dinner in the evening of Day 1.

Early bird rate (£75) will finish on Friday May 17th and increase to the full rate (£95) thereafter.

Recordings from last year are available!


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