4th Machine Learning and AI in Bio(Chemical) Engineering
Democratising Machine Learning in Chemistry and Chemical Engineering
Hosted by the University of Cambridge
06-07 July 2021
6 July 2021
13:00 - 13:05 Welcome speech by Alexei Lapkin (University of Cambridge)
13:05 - 13:55 Keynote 1 - Prof. Daniele Marchisio (Politecnico di Torino) "Application of AI to computational models for transport phenomena: porous media and non-Newtonian fluids"
13:55 - 14:00 Coffee break
14:00 - 14:15 Q&A for talk by Vivek Sinha (TU Delft) "Enabling Data-Driven Chemistry for Transition Metal Catalysis"
14:15 - 14:30 Q&A for talk by Liwei Cao (University of Cambridge) "Knowledge-Graph Based Approach For Manufacturing Digitialisation"
14:30 - 14:45 Q&A for invited talk by Lucy Colwell (University of Cambridge)"Machine learning for biological sequence design with therapeutic applications"
14:45 - 15:00 Q&A for talk by Panagiotis Petsagkourakis (Imperial College London) "Safe Real-Time Optimization Using Multi-Fidelity "
15:00 - 15:15 Q&A for talk by Ilya Orson Sandoval (Imperial College London) "Model-based reinforcement learning with neural feedback policies"
15:15 - 15:30 Q&A for talk by Max Mowbray (University of Manchester) "Safe Chance Constrained Reinforcement Learning for Batch Process Control"
15:30 - 15:45 Q&A for talk by Eike Cramer (Institute for Energy & Climate Research IEK-10) "A Principal Component Normalizing Flow "
15:45 - 16:00 Q&A for invited talk by Dr. Rossella Arcucci (Imperial College) - "Data Learning"
16:00 - 16:30 Poster & Networking
16:30 - 17:00 Tutorial on Summit by Kobi Felton (University of Cambridge)
7 July 2021
13:00 - 13:50 Keynote 2 - George Karniadakis (Brown University) "Integrating Machine Learning and Multiscale Modeling in Biomedicine "
13:50 - 14:00 Coffee break
14:00 - 14:15 Project update by Alexei Lapkin (University of Cambridge) and Richard Bourne (University of Leeds)
14:15 - 14:30 Q&A for invited talk by Dr. Benjamin Shields (Bristol Myers Squibb) "Bayesian optimization as an approach to drug development"
14:30 - 14:45 Q&A for talk by Yves Gaetan Nana Teukam (IBM Research Europe) "Molecular Transformer-aided Biocatalysed Synthesis Planning"
14:45 - 15:00 Q&A for talk by Daniel Nurkowski (CMCL Innovations) "A Question Answering System for Chemistry"
15:00 - 15:50 Keynote 3 - Prof. Nick Sahinidis (Georgia Institute of Technology) "Methods and applications of deep reinforcement learning"
15:50 - 16:00 Closing Remarks
16:00 - 16:30 Poster & Networking
All reported times in BST.
We are proud to bring inspirational speakers from across the globe
The 4th International Conference on Machine Learning and AI in (bio)Chemical Engineering will take place online on July 6-7, 2021. The theme for this year is "Democratising ML in Chemistry and Chemical Engineering". 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 one explanatory figure. We emphasise that abstracts should include sufficient introduction for newcomers. The deadline for submissions is 30 May 2021.
We are happy to announce that there will be the following prizes:
Best student presentation: £100 cash
Best poster: £50 cash
Prizes are sponsored by Reaction Chemistry & Engineering