Events

 8th Artificial Intelligence in Chemistry Symposium

Event
8th RSC-CICAG / RSC-BMCS Artificial Intelligence in Chemistry

Dates
Monday-Wednesday, 22nd – 24th September 2025

Useful links
To register, click here. In person registration closes Monday 15th September 16:30 BST

Place
Churchill College, Cambridge

Synopsis
Artificial intelligence is increasingly revolutionizing chemistry. We are witnessing the impact of new methods and practical applications in many diverse areas of chemistry. Following on the successes of seven annual “Artificial Intelligence in Chemistry” meetings starting in 2018, we are pleased to announce that the Chemical Information & Computer Applications Group (CICAG) and Biological & Medicinal Chemistry Sector (BMCS) of the Royal Society of Chemistry are once again organising a conference to present the current advances in AI and machine learning in chemistry. The meeting will be held over two and half days and will combine aspects of artificial intelligence and deep machine learning methods to applications in chemistry. The programme will include a mixture of keynote talks, panel discussions, oral presentations, flash presentations, posters and opportunities for open debate, networking and discussion.

This year’s meeting will build on 2024’s popular “Introduction to AI in Chemistry” workshop on Day 1, this time with an additional introduction to Python/Jupyter notebooks.

Confirmed Invited Speakers
Afnan Sultan, Saarland University
Andrea Volkamer, Saarland University
Andreas Bender, University of Khalifa
Babak Mahjour, MIT
Carl Poelking, Astex Pharmaceuticals
Daniel Price, Nimbus
David Baker, University of Washington (Remote Presentation)
Fernanda Duarte, University of Oxford
Jessica Lanini, Novartis
Kenneth Atz, Roche
Matthieu Schapira, University of Toronto
Nicholas Hadler, University of California
Nicholas Runcie, University of Oxford
Nongnuch Artrith, Utrecht University
Pat Walters, Relay Therapeutics
Philippe Schwaller, EPFL
Raquel Lopez-Rios de Castro, Charite
Simona Buzzi, KU Leuven

Programme 

Monday 22nd September 2025

12.00-13.00Registration & Refreshments
13:00-13:00Pre-workshop for newcomers - Introduction of notebooks and Python Libraries
13.30-14.30Workshop Part 1 - Building the AI Foundation
14.30-15.00Refreshment Break
15.00-16.00Workshop Part 2 - Powering AI with Data
16.00-16.30Refreshment Break
16.30-17.30Workshop Part 3 - AI in Action
17.30-18.00Q&A
18.00Close
18.30Barbecue for all registered at Churchill

Tuesday 23rd September 2025
09.15-10.20Registration & Refreshments
10.20Opening Remarks
Session 1: Chair - Nathan Brown
10.30-11:30Keynote 1:
Modelling Chemical Reactions in Solution: Balancing Efficiency and Accuracy
Fernanda Duarte, University of Oxford

11.30-12.00Flash Posters
20 x 1.5 min talks
12.00-13.30Lunch, Exhibition, Posters (odd numbers), and Networking
Session 2: Chair - Gian Marco Ghiandoni
13.30-14.00Autonomous Discovery of Novel Multi-Component Reactions using a Virtual Flask and Robotics
Babak Mahjour, MIT
14.00-14.30
A 3D Structure-Based Deep Learning Approach for Predicting the Regioselectivity of Transition Metal Catalysis
Nicholas Hadler, University of California
14.30-15.00From Atoms to Accelerated Discovery:
Machine Learning Pathways for Catalysis and Materials Innovation
Nongnuch Artrith, Utrecht University
15.00-15.45Refreshments, Exhibition, Posters (even numbers), and Networking
Session 3: Chair - Bjoana Popavic
15.45-16.15Predicting the Solubility of Organic Compounds in Mixtures with Thermodynamic Cycles and Machine Learning
Simona Buzzi, KU Leuven
16.15-16.45Lesson learned from four CACHE challenges: an AI-driven breakthrough is yet to come
Matthieu Schapira, University of Toronto
16.45-17.30Perspective-
Artificial Intelligence in Drug Discovery: The Six Circles of Hell
Andreas Bender, Khalifa University
17.30-18.00Panel; Hype vs Reality
18.00Close
18.30Walk to Conference Dinner
19.00Reception drinks and Conference Dinner at St John's College

Wednesday 24th September
09.00-09.30Refreshments
Session 4: Chair - Martin Buttenschoen
09.30-10.00Teaching Language Models to Speak Chemistry
Philippe Schwaller, EPFL
10.00-10.30
Assessing the chemical intelligence of large language reasoning models
Nicholas Runcie, University of Oxford

10.30-11.15Refreshments, Exhibition, Posters (odd numbers), and Networking
Session 5: Chair - Astrid Stroobants
11.15-11.45Assessing Uncertainty in Molecular Machine Learning with UNIQUE Framework
Jessica Lanini, Novartis
11.45-12.15Integrating Activity and Structural Data with Uncertainty-Aware Multiobjective Learning for Kinase Inhibitor Prediction
Raquel Lopez-Ro de Castro, Charite
12.15-14.00Refreshments, Exhibition, Posters (even numbers), and Networking
Session 6: Chair - Samantha Hughes
14.00-14.30A Measured Perspective on AI/ML in Drug Discovery
Daniel Price, Nimbus Therapeutics
14.30-15.00Expediting Hit-to-Lead Progression in Drug Discovery through Reaction Prediction and Multi-Objective Optimisation with AI
Kenneth Atz, Roche
15.00-15.30Transformers for molecular property prediction: Pre-training is limited, and domain adaptation is a "significant" remedy?
Afnan Sultan, Saarland University
15.30-16.00Refreshments, Exhibition, and Networking
Session 7: Chair - Garrett Morris
16:00 - 16:30Poster prizes and Closing Remarks
16:30 - 17:00All benchmarks are biased, some are useful: Co-folding beyond the PDB & the case for better baselines
Maria Kadukova, Astex Pharmaceuticals
17:00 - 18:00Keynote 2: Design of new protein functions using deep learning
David Baker, University of Washington (Virtual)
18.00 Conference Close

Who should attend
This meeting will be of interest to scientists of any level of experience from academia and industry

Registration
Please click here to register your attendance at the meeting.

Registration Fees
RSC Member £400.00
Non-Member £490.00
RSC Student** Member* £250.00
Student** Non-member (undergraduate and post-graduate) £300.00

Online attendance registration fees
RSC Member* £260.00
Non-Member £325.00
RSC Student ** Member* (Undergraduate and post-graduate)  £150.00
Student** Non-Member (Undergraduate and post-graduate) £160.00

* Member is a paid-up member of the RSC
** Student rates apply to undergraduate and post-graduate students only, but not post-doctoral students.

The registration rate includes attendance at the conference, lunch meals and conference dinner. Accommodation and BBQ tickets are available to book with an additional fee.

Accommodation
Accommodation at Churchill College is available to book for Monday and Tuesday nights at a cost of £118.00 per night (including breakfast). It will be advisable to book this at the time of registration as the rooms are first come first served. 

A BBQ ticket for Monday evening is also available for £38.00 (including food and 2 drinks)

Want to become a member?
To join the RSC in order to qualify for discounted registration fees at all RSC, please follow this RSC link.

Abstracts
Abstract submissions are now closed.

Bursaries
The deadline for bursary applications has now passed.

Exhibition/Sponsorship
To register as an exhibitor or sponsor, please click here

Exhibition stand package is priced at £1,400 and includes:
– A six-foot trestle table and chair(s);
– Access to electricity and Wi-fi;
– Logo inclusion in pdf delegate handbook and rolling slides;
– Exhibitors promotional page in the pdf delegate handbook;
– Logo included in the communication emails to delegates;
– One exhibitor stand staff with access to the technical sessions and Conference dinner (excluding accommodation)

We are also seeking sponsorship from organisations supporting the low registration fees offered to students. You can support and sponsor this meeting by clicking the booking link above.

Scientific Organising Committee
Nathan Brown, Healx
Nessa Carson, AstraZeneca
Samantha Hughes, AstraZeneca
Garrett M. Morris, University of Oxford 
Pradip Songara, Rothamsted Research 
Chris Swain, Cambridge MedChem Consulting
Alex Ganose, Imperial College London

Exhibitors

 

 

 

 

 

 

Sponsors

 

 

 

Secretariat Contact

Hg3 Conferences Ltd
+44 (0)1423 529333
E-mail