Gaurav Moghe

Gaurav Moghe serves as an Assistant Professor in Cornell University's School of Integrative Plant Science, where he leads groundbreaking research at the intersection of plant biology and computational science. His laboratory specializes in studying plant specialized metabolism through an innovative combination of computational biology, molecular biology, biochemistry, and synthetic biology approaches. With 15 years of coding experience, Moghe has established himself as a distinguished researcher in computational metabolomics, comparative genomics, and gene function prediction. His academic contributions include teaching advanced courses such as PLBIO 4000/6000 on Computational Biology, specialized lectures on Mass Spectrometry for metabolomics, and Introduction to Machine Learning for plant science graduate students. His research explores how approximately 300,000 plant species produce over a million different metabolites and their potential applications in agriculture, nutrition, and medicine. Moghe's scientific excellence has been recognized with prestigious honors, including the 2023 Arthur Neish Young Investigator Award from PSNA, and his work has secured significant funding through NSF and USDA grants. His research continues to advance our understanding of plant metabolism while bridging the gap between computational and experimental biology.