SynBioBeta Speaker

Christopher Petzold

LBNL

Staff Scientist

Christopher Petzold’s expertise lies in bridging high-throughput analytical technologies with advanced metabolic engineering to enable the rational design and optimization of engineered microbes. As a researcher at the Lawrence Berkeley National Laboratory, the DOE Joint BioEnergy Institute (JBEI), and the Agile BioFoundry, he focuses on closing the "reproducibility gap" between lab-scale discovery and industrial-scale biomanufacturing. His approach treats data as a physical asset, emphasizing "clean data" to ensure that AI-ML models are trained on biological reality rather than noise. By leveraging advanced tools like RapidFire-MS, which enables sample analysis in

Sessions Featuring

Christopher

This Year

Lunch & Learn

•

12:15 PM

-

1:00 PM

Biomanufacturing

Berkeley Lab Provides the Foundation for Biomanufacturing-specific AI

Berkeley Lab develops new automation approaches to produce the large amounts of high-quality data that AI needs to solve significant problems in biology and enable new biomanufacturing capabilities. The Lab uses HTP approaches to generate AI-ready data and leverages that data in AI models to design microbial pathways, engineer host systems, optimize media formulations, generate functional plasmid origins, engineer plant transcriptional regulation, and predict solvent properties. The Lab's process development unit aims to generate complex biological data needed for virtual cell and other models by algorithm development companies. 

Featuring

Christopher Petzold

LBNL

Staff Scientist

Deepti Tanjore

LBNL

Director, ABPDU

Chong Wing Yung

LBNL

Program Manager

Lunch & Learn

•

12:15 PM

-

1:00 PM

Biomanufacturing

Berkeley Lab Provides the Foundation for Biomanufacturing-specific AI

Berkeley Lab develops new automation approaches to produce the large amounts of high-quality data that AI needs to solve significant problems in biology and enable new biomanufacturing capabilities. The Lab uses HTP approaches to generate AI-ready data and leverages that data in AI models to design microbial pathways, engineer host systems, optimize media formulations, generate functional plasmid origins, engineer plant transcriptional regulation, and predict solvent properties. The Lab's process development unit aims to generate complex biological data needed for virtual cell and other models by algorithm development companies. 

Featuring

Christopher Petzold

LBNL

Staff Scientist

Deepti Tanjore

LBNL

Director, ABPDU

Chong Wing Yung

LBNL

Program Manager

Previous Speakers Include