Come hang out with the ML x drug discovery community at ICML 2023 over lunch! This is the first public event hosted by Valence following the recent acquisition by Recursion. We will be announcing what we have in store for the future of Valence at the event, you don’t want to miss it! 👀 Following the announcement, we’ll be organizing a short panel discussion with industry researchers to discuss the importance of task-relevant benchmarks in ML for drug discovery. About the communities: The Molecular Modelling and Drug Discovery (M2D2) community is focused on sharing knowledge to accelerate the pace of innovation in ML for drug discovery. We host weekly reading groups with leading researchers in the field covering an array of topics applicable to ML for drug discovery. The Learning on Graphs and Geometry (LoGG) community hosts weekly reading groups featuring leading researchers in the field of graph machine learning.
As part of the meetup, we also hosted a panel to discuss the topic of fostering the development of impactful AI models in drug discovery.
Panel Description
Some of the biggest challenges we see when moving from an academic research context into a real-world context relate to benchmarking. Strong performance on one of the many benchmarks in our field rarely guarantees strong performance in a real-world drug discovery program. Listen to what our panelists have to say on how we can bridge the gap that exists between research result and real-world value.