Passionate about data science and chemistry, Victor Guiller's goal is to combine domain expertise, design of experiments, and data analysis to help laboratories leverage their historical data, plan their next experiments efficiently, make better decisions, and unravel some of the mysteries of chemistry.
Presentations
- Synergy Between Design of Experiments and Machine Learning for Enhanced Domain Expertise (2024-EU-30MP-1615)
- Use of Functional Data Explorer in a Mixture Design for Tribological Performance Prediction (2021-EU-30MP-739)
- Performance Evaluation and Prediction for Quenching Oils in Production Using JMP® Pro (2020-EU-EPO-436)