Speakers:
Prof. Felix Strieth-Kalthoff – Machine Learning hits the Lab: Experiment Planning with Bayesian (Co-)Pilots
Kelvin Wong – Analysing Small Angle X-Ray Scattering Data with Neural Network Accelerated Monte Carlo Sampling
Speakers:
Dr. Sterling Baird – So, you want to build a self-driving lab?
Dr. Austin Mroz – Multi-Fidelity Bayesian Optimization in Chemistry: Open Challenges and Major Consideration
Speakers:
Ross Urqurhart – Machine Learning Potentials: Beyond Potential Energy
Dr. Fadwa El Mellouhi – Data-driven Materials Discovery
Join us for a day full of AI innovation, networking, and inspiring talks by top experts in the field.
Speakers:
Yuan Li & Prof. Philippe Schwaller
Tenure-Track Assistant Professor
École Polytechnique Fédérale de Lausanne | EPFL
Speakers:
Linden Schrecker (SOLVE Chemistry) and Nessa Carson (Astrazeneca)
Speakers:
James Odgers & Prof. Abigail Doyle
Wednesday 21st May – 6.30pm – 9.00pm –
Discover how AI is revolutionising chemistry, engineering, and even the nuclear industry. Come for the cutting-edge science, stay for the cold pints and curious conversations.
Join our webinar to learn about our new funding call, eligibility, application tips, timelines, and Q&A with the team.
Explore how (Gen)AI is shaping undergraduate chemistry teaching at this interactive workshop hosted at Imperial College.
Speakers:
Professor Jason Hein
This workshop explores the principles and practice of inorganic informatics, focusing on the development of SMACT for rule-based and embedding-driven materials discovery.