In this free webinar, our panellists will share their thoughts on how to get started with artificial intelligence (AI) and machine learning (ML), covering aspects such as developing AI/ML, reusing data and selecting the right data sources, as well as the ethics involved with this.
This webinar took place on Tuesday April 14th, 3 pm BST.
Watch the recording!
Speakers
Nessa Carson, Digital Champion, AstraZeneca, UK
Nessa Carson received Master’s degrees in synthesis and catalysis from Oxford University and the University of Illinois at Urbana-Champaign. She started out as a synthetic chemist for AMRI, then moved within the company to run the high-throughput automation facility for Eli Lilly in Windlesham, working across discovery and process chemistry, then in high-throughput reaction optimization at Pfizer and then Syngenta. Nessa moved to AstraZeneca in 2022 as Digital Champion, focussing on digital transformation and making life easier for scientists, and currently works in the Predictive Science, Digital, and Automation team. She was awarded the Salters’ Institute Centenary Award for early-career chemists with the potential to make an outstanding long-term contribution to industrial chemistry.
Talk title: Data foundations: Developing AI agents for laboratory science in pharma – SLIDES
Raquel López-Ríos de Castro, Postdoctoral Fellow, Freie Universität Berlin, Germany
Raquel López-Ríos de Castro is a Marie Skłodowska-Curie Postdoctoral Fellow working between Freie Universität Berlin (with Prof. Cecilia Clementi) and Memorial Sloan Kettering Cancer Center (with Prof. John Chodera). She was previously a postdoctoral researcher in the Volkamer lab, with which she continues to collaborate. Her research sits at the intersection of machine learning and molecular simulation, with a focus on accelerating drug discovery. She develops ML models to enhance protein structure predictions in drug discovery by incorporating key physical details, bridging the gap between AI-driven structure prediction and physics-based simulations. Raquel completed her PhD at King’s College London, where she developed computational platforms for drug delivery and peptide therapeutics using multiscale molecular dynamics and data-driven methods. Her work has been recognized with the Institute of Physics Jocelyn Bell Burnell Medal and an invitation to the Physics Lindau Nobel Laureate Meeting as a young scientist.
Talk title: Where to begin with AI and ML? (for chemistry) – SLIDES
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