INFORM May 2026

AOCS UPDATES | INFORM | 7

distinguish previously invisible isomers. This allowed us to pinpoint specific oxidation products, linking them directly to impacts on flavor, nutrition, and safety—ultimately providing a new toolkit for quality control. INFORM: WHAT IS YOUR OPINION ON DATA SCIENCE OR AI-DRIVEN ANALYTICS AND THE FUTURE OF LIPID ANALYSIS? Wei: I firmly believe that data science and AI driven analytics are the pivotal catalysts for the next leap in lipid analysis. The immense complexity of lipids—encompassing thousands of molecular species, subtle isomers, and intricate dynamic changes— has pushed traditional data processing to its limits. The integration of AI and machine learning empowers us to decode this complexity with unprecedented depth and efficiency. Beyond simply identifying and quantifying lipids, these tools enable predictive modeling, pattern discovery, and intelligent annotation, turning vast datasets into actionable scientific insight. In practice, this means moving from merely describing lipid profiles to forecasting oxidation pathways, predicting nutritional or functional outcomes, and optimizing processing conditions. Ultimately, the synergy of

analytical chemistry and data intelligence will accelerate our journey towards truly predictive, precise, and personalized lipid science. INFORM: WHAT ROLE HAS COLLABORATION PLAYED IN ADVANCING YOUR WORK? Wei: My direct involvement as an associate editor for the Journal of the American Oil Chemists’ Society has connected me deeply with a global network of peers, industry leaders, and early career scientists. This ongoing exchange does more than just keep me updated and creates pathways for translating lab innovations into practical tools. Ultimately, AOCS turns individual research into shared progress, ensuring that our scientific contributions deliver tangible impact across the entire oils and fats community. INFORM: HOW DO INTERDISCIPLINARY PARTNERSHIPS ENHANCE ANALYTICAL RESEARCH OUTCOMES? Wei: Interdisciplinary partnerships are essential, as they transform analytical chemistry from a tool into a solution-oriented engine. My role is to provide precise methods to “see” molecular details—such as lipid profiles or metabolic pathways. But it is collaboration with experts in fields like nutrition, plant

science, and bioinformatics that clarifies what to analyze and why it matters. Their questions drive the development of new assays and methods, while our data in turn validates hypotheses and informs decisions. This two-way exchange ensures our science is both rigorous and relevant, turning data into insights that connect the lab, the field, and real-world application. INFORM: WHAT ADVICE WOULD YOU OFFER TO YOUNG PROFESSIONALS AIMING TO MAKE MEANINGFUL CONTRIBUTIONS IN LIPID ANALYSIS? Wei: My advice is to master the fundamentals while embracing the frontiers. Build a solid foundation in analytical chemistry and lipid biochemistry—this hands-on, principled understanding is essential. Then, actively work across disciplines: partner with biologists, data scientists, and engineers, and always link your analytical questions to real world impacts like food quality, nutrition, or sustainability. Stay curious, be persistent in refining methods, and don’t hesitate to bring your unique perspective—it could unlock the next breakthrough.