Lecture Series 2023/24
The Lecture Series is focused on dissemination of cutting-edge developments related to the many facets of chemistry digitalisation. Each hour-long session usually has two speakers, providing an engaging discussion from both an academic and industry perspective on a common theme.
Please note that all talks are in person only events unless otherwise stated.
Machine Learning-based prediction methods
Tuesday 20th May 2024, Pfizer Lecture Theatre
"Proficient property prediction"
"Evolving the Cambridge Structural Database to derive new insights"
Recording not yet available
Digital Twins
Tuesday 6th February 2024, Pfizer Lecture Theatre
"A dynamic knowledge graph approach to dynamic knowledge graph approach to distributed self-driving laboratories"
"Automated laboratory management, powered by The World Avatar™ ecosystem"
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Machine Learning
Tuesday 9th January 2024, Pfizer Lecture Theatre
"Calling up Gaussian processes with stochastic gradient descent"
"Deploying machine learning in chemical industry"
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Big data, data preparation
Tuesday 7th November 2023, Pfizer Lecture Theatre
"Exploring reaction data for machine learning"
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Laboratory Automation
Tuesday 10th October 2023, Pfizer Lecture Theatre
"pHbot: Self-driven robot for pH adjustment of viscous formulations via physics-informed-ML"
"Modular automation of reactors"
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Academic Talk
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Industry Talk
Artificial intelligence and Automation in Chemical Kinetic Modeling
Tuesday 24th August 2023, Pfizer Lecture Theatre
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