2nd Showcase 2022
About the Event
AI is rapidly revolutionising drug design and discovery, fuelled by the promise of dramatically accelerating a very costly and time-consuming process. This 2nd joint showcase between NCI and Intersect Australia features four peak presentations showcasing state-of-the-art research activity in this fast-evolving field.
Internationally renowned scientists will reveal how large, high-quality datasets coupled with machine learning analysis can play a vital role in the process of new drug design and discovery. The presentations are of broad interest to scientists working in HPC and Big Data in drug design and biosciences, from advanced graduate research students to early career researchers and beyond.
Speakers & Program
- Prof Olexandr Isayev, Carnegie Mellon University – Accelerating Drug Discovery with Machine Learning and AI
- Dr. Arvind Ramanathan, Argonne National Laboratory – A Supercomputing Perspective on AI-driven Drug Discovery for COVID-19
- Prof Cecilia Clementi, Freie Universität Berlin – Designing Molecular Models with Machine-Learning and Experimental Data
- Prof Michele Vendruscolo, University of Cambridge – Towards the Use of Machine Learning for Drug Discovery for Protein Misfolding Diseases
Moderator: Professor Ben Corry (Australian National University)
Image: Drug/Cyclodextrin Complexation – Credit to A/Prof. Defang Ouyang at University of Macau
Recordings
A combined recording of the showcase is available, along with individual presentations.
Support
This event is supported by Intersect and NCI Australia.