Catalysis Research Meets Data Science
Combining in-depth knowledge in catalysis research with automation and data science to transform your chemical processes.
Where Chemistry Meets Code
We bridge the gap between catalysis research and modern data science, helping you unlock insights and automate processes.
Manual processing takes time and makes room for error.
- Automate existing workflows
- Building of custom libraries
- Enable transparent building of insights from raw evidence
Get the most out of existing measurements.
- Bulk processing and visualization of historical data.
- Extraction of new trends and insights.
- Hypothesis testing
Enable automation with your existing talent and automation.
- Python training for chemists from technician to PhD
- Tailored to experience and target skills
- Automation script development
Professional Profile
Catalysis researcher and data scientist with expertise in laboratory automation and computational methods.
Professional Background
Lead Data Scientist & Catalysis Researcher
2018 - PresentPylon
Developing automated data pipelines for catalysis research, implementing machine learning models for reaction prediction, and creating custom Python tools for laboratory automation.
Research Scientist
2012 - 2018Advanced Catalysis Institute
Led research projects on heterogeneous catalysis, developed computational models for catalyst design, and pioneered data-driven approaches to reaction optimization.
Education
Ph.D. in Chemical Engineering
2012Focus: Computational Catalysis & Data Science
M.S. in Chemistry
2008Focus: Catalytic Materials & Processes
Contact Us
Ready to transform your catalysis research with automation and data science? Let's discuss your project.