Drug Discovery

For centuries, drug discovery was a slow, trial-and-error process—sometimes taking decades to develop life-saving treatments. But what if we could speed up that timeline? At Lawrence Livermore National Laboratory, scientists are using supercomputing, machine learning, and AI to revolutionize how new medicines are found, tested, and developed.

In this episode, we dive into the cutting-edge technology behind faster drug discovery, how researchers are using high-performance computing to target diseases more precisely, and the potential to bring new treatments—from cancer drugs to viral countermeasures—to patients in record time.

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Big Ideas Lab is a Mission.org original series. 

Executive Produced by Lacey Peace and Levi Hanusch.

Sound Design, Music Edit and Mix by Daniel Brunelle. 

Story Editing by Daniel Brunelle. 

Audio Engineering and Editing by Matthew Powell. 

Narrated by Matthew Powell. 

Video Production by Levi Hanusch. 

Guests featured in this episode (in order of appearance): 

• Jim Brase, Deputy Associate Director for Computing, Lead of the Bio Resilience Initiative, LLNL
• Felice Lightstone, Leader, Biochemical and Biophysical Systems Group, LLNL
• Jonathan Allen, Informatics Scientist, LLNL

Brought to you in partnership with Lawrence Livermore National Laboratory.

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