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.
Conference Agenda
The event will be held at the Department of Chemical Engineering and Biotechnology,
Philippa Fawcett Dr, Cambridge CB3 0AS
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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 Pang - Enhancing 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 Clayton - Bayesian 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 Sebastian Mosbach - twa: 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
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July 03th, Day two
09:00 – 09:15 Coffee reception
09:15 – 09:50 Michele Assante - Automation of ab-initio calculations for data-driven reaction models: integrating mechanistic DFT calculations into reaction feasibility routines
09:50 – 10:15 Hugo Bellamy - Incorporating uncertainty information into drug design problems
10:15 – 11:15 Fernanda Duarte (Keynote) - Bridging the Gap: Enhancing Retrosynthesis Prediction for Heterocycle compounds
11:15 – 12:45 Poster Session
12:45 – 14:00 Lunch
14:00 – 14:25 Thomas Andrews - A Self-Optimizing Platform for Continuous Flow Transfer Hydrogenations Using Catalytic Static Mixer Technology
14:25 – 14:50 Aniket Chitre - Accelerating Liquid Formulations Design using Lab Automation and Machine Learning
14:50 – 15:15 Emmanuel Agunloye - Application of Artificial Neural Networks Classifier for Rapid Identification of Chemical Reactor Models
15:15 – 15:50 Workshop - Reactwise (Henrique Marçon)
15:50 – 16:30 Closing Remarks & Prizes
16:30 End of day 2
Speakers
Confirmed speakers
Keynote speakers for 2024 edition
Andreas Bender
University of Cambridge, UBB Cluj, UMF Cluj, and Pangea Bio
Fernanda Duarte
University of Oxford
Workshop
No-code Machine Learning in Chemistry: ReactWise
Alexander Pomberger & Daniel Wigh
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:
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Software implementations of key methods
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Experimental case studies using ML
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Method development, particularly those that simplify user experience
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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.
Registration
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.
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Early bird rate (£75) will finish on Friday May 17th and increase to the full rate (£95) thereafter.
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Recordings are now available!
Sponsors
