New Matter: Inside the Minds of SLAS Scientists
The official Society for Laboratory Automation and Screening (SLAS) podcast explores advances in automation, cellular imaging, big data and what's coming in the spaces between traditional scientific disciplines. Guests often include members of SLAS along with innovators, leading experts and other members of the global scientific community to highlight technology and even career stories. Episodes are released every week and subscribe to New Matter - available on all podcast players.
New Matter: Inside the Minds of SLAS Scientists
AI Automation Explosion
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Episode 86
A meta-roboticist, a theoretical physical inorganic chemist, and an automated science educator sit down for a podcast.... Join us today as guest host Mike Tarselli talks with Jason Hein, Joshua Schrier, and Josh Kangas about the AI automation explosion. Where have we come from and where are we now? Where are we going and what are we doing to placate our pending robot overlords? Let's find out together.
If you want to learn more about what Mike, Jason, Joshua, and Josh work on, check out their work below!
- Mike Tarselli, CSO at TetraScience
- Jason Hein, Associate Professor, Department of Chemistry at The University of British Columbia
- Josh Kangas, Assistant Teaching Professor, Computational Biology Department at Carnegie Mellon University
- Joshua Schrier, Kim B. & Stephen E. Bepler Chair Professor, Department of Chemistry at Fordham University
- CMU Masters in Automated Science Program
- Hein Lab Automation
- RSC Journal Digital Discovery
Interested in learning more about the field? Check these out:
- Data-science driven autonomous process optimization
- Autonomous experimentation systems for materials development: A community perspective
- Machine Learning the Ropes
- Introduction to Computational Physical Chemistry
Upcoming SLAS Events:
SLAS2025 International Conference and Exhibition
- January 25-29, 2025
- San Diego, CA, USA
SLAS Europe 2025 Conference and Exhibition
- 20-22 May 2025
- Hamburg, Germany