About
About CultureBotAI
CultureBotAI represents a cutting-edge intersection of artificial intelligence and microbiology, dedicated to revolutionizing how we approach microbial research and cultivation.
Principal Investigator
Dr. Joachimiak leads the CultureBotAI initiative as a researcher in the Environmental Genomics and Systems Biology Division at Lawrence Berkeley National Laboratory. He is also a key member of the Berkeley Bioinformatics Open-source Projects (BBOP) group.
Research Expertise
- Microbial cultivation and isolation
- Knowledge graph development and ontology engineering
- AI/ML applications in biology
- Systems biology and genomics
- Bioinformatics tool development
Our Mission
To revolutionize microbial research through AI-driven automation, monitoring, and optimization of culturing processes. We focus on bridging the gap between computational intelligence and practical laboratory applications.
Laboratory Affiliations
Primary Affiliation
- Environmental Genomics and Systems Biology Division
Lawrence Berkeley National Laboratory
Collaborative Networks
- Berkeley Bioinformatics Open-source Projects (BBOP)
- Advanced Biofuels and Bioproducts Process Development Unit (ABPDU)
- Joint BioEnergy Institute (JBEI)
Research Philosophy
We believe that the future of microbiology lies in the intelligent integration of:
- Data-Driven Approaches - Leveraging large-scale datasets to understand microbial behavior
- Machine Learning - Applying AI to predict optimal growth conditions and outcomes
- Knowledge Integration - Building comprehensive knowledge graphs that connect diverse microbial data
- Open Science - Developing open-source tools and sharing resources with the research community
Contact Information
Email: mjoachimiak@lbl.gov
Lab Website: Environmental Genomics and Systems Biology Division
GitHub: CultureBotAI Organization
Get Involved
We welcome collaborations with:
- Microbiologists and cultivation specialists
- Data scientists and machine learning researchers
- Software developers interested in biotechnology
- Students and postdocs passionate about computational biology
For collaboration opportunities or questions about our research, please reach out via email or through our GitHub discussions.