Stephen Pearson is a Principal Data Scientist at Syngenta, skilled in automating data collection, processing, analysis, and reporting. He supports manufacturing sites around the world through enhancing working practices, designing tools to address needs, and delivering data science training. He holds a Ph.D. in chemistry from the University of Edinburgh.
Presentations
- Using JMP to Build Soft Sensors for Efficient Monitoring of Chemical Production Processes
- Using Simulation Methods in JMP® to Prevent Supply Chain Fires (2020-EU-30MP-356)
- Digital Twin of a Manufacturing Process in a JMP data table
- Visual exploration of datasets using self-assembling Graph Builder previews