🧪 Transform Your Understanding of Modern Chromatography & AI!

Join us for an eye-opening conversation with Professor Dwight Stoll from Gustavus Adolphus College as he reveals how his team is revolutionizing liquid chromatography through high-throughput data collection and machine learning. With over 43,000 retention measurements and groundbreaking research spanning three major publications, Prof. Stoll is pioneering the future of analytical chemistry.🔬 What You'll Learn:- How short columns (5mm vs 100mm) dramatically increase measurement throughput while maintaining accuracy- The evolution from HSM1 to HSM3 models and their predictive capabilities - Why selectivity ratios are more stable than absolute retention factors- The "Manhattan Project of Chromatography" - building massive retention databases- Key challenges: column drift, mobile phase standardization, and precision trade-offs- Career advice for researchers at the intersection of chromatography and data science📊 Key Highlights:- 43,329 total retention measurements across 13 stationary phases- Revolutionary "feed injection" method for high-throughput analysis- Improved isomer selectivity predictions - crucial for pharmaceutical analysis- The holy grail: predicting retention from molecular structures🎯 Perfect For:- Analytical chemists and chromatographers- Data scientists interested in chemistry applications- Graduate students and researchers- Pharmaceutical industry professionals- Anyone curious about AI applications in science🔗 Connect with Prof. Stoll:- Gustavus Adolphus College Chemistry Department- Research focused on liquid chromatography and 2D-LC#Chromatography #MachineLearning #AnalyticalChemistry #AI #DataScience #Research #HPLC #Pharmaceutical #Chemistry #ScienceThis interview showcases cutting-edge research that's transforming how we approach method development in liquid chromatography. Don't miss this glimpse into the future of analytical chemistry!