Invitation to “Active Learning in Pharma” Symposium (December 2024)

We are inviting you to join us the first week of December to the first Symposium on “Active Learning in Pharma”: https://www.active-learning.uk/

With BayBe (Merck Germany), ProcessOptimiser (Novo Nordisk), BoFire (BASF) and many more OpenSource packages emerging from this ecosystem, we believe it is increasingly important to encourage collaboration and knowledge exchange within this growing community–hence a symposium!

We have put together an interactive program, with active learning teams presenting their work, academics sharing cutting-edge research and industry leaders showcasing their latest methods and results.

If you are also part of a Closed-loop/Bayesian Optimisation/Active Learning team and would like to contribute to the program, just reply to this email (jakob@matterhorn.studio).

Register your attendance at: https://forms.gle/SigHaWKKmkBqEsje6

Feel free to share this invitation with anyone relevant in your network.

Tentative Program

(BST, London)

14:00 Keynote: How to build an ecosystem for Active Learning in Pharma

14:15 5-minute Lightning Talks (Opportunity for teams to introduce themselves)

Novo Nordisk

Bayer

More to be confirmed

15:00 Panel Discussion: OpenSource for Active Learning Software

16:00 Break in GatherTown: Meet & Greet of industry and academia

16:30 Talks: Latest Advancements in Algorithms

“Applying Multi-Fidelity Bayesian Optimization in Chemistry: Open Challenges and Major Considerations”, Mohammed Azzouzi, EPFL (Paper)

“Robust and Conjugate Gaussian Process Regression”, Matias Altamirano Montero, UCL (Paper)

16:50 Talks: Latest Advancements in Applications

“Automated Discovery of Pairwise Interactions from Unstructured Data”, Jason Hartford, Valence Labs/Recursion Pharmaceuticals (Paper)

“Self Driven Media Optimization Using Multi-Objective Baysian Optimization With Laboratory Automation”, Dania Awad, WSSB (Presentation)

17:10 Conclusion

17:20 Open End in GatherTown

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