Ali Rahnavard is an Assistant Professor in the Department of Biostatistics and Bioinformatics and Computational Biology Institute at George Washington University. His research lab develops novel machine learning, statistical, and visualization techniques and uses omics data to address global health and biomedical challenges. Ali is interested in functional integration of omics data with metabolomics as a core for understanding biology. His work is recognized by awards from numerous national and international organizations, including the National Science Foundation, the Bill and Melinda Gates Foundation, the US Food and Drug Administration, and the National Center for Advancing Translational Sciences. Dr. Rahnavard worked as a computational lead for the Metabolomics Platform and postdoc with the Infectious Disease and Microbiome Program at the Broad Institute of MIT and Harvard and Harvard T.H. Chan School of Public Health. He has developed machine learning techniques to accurately identify and measure metabolites for Liquid Chromatography Mass Spectrometry methods. His lab investigates metabolite dynamics in multiple projects, such as pediatric cancer, COVID-19, and pregnancy. Dr. Rahnavard has initiated a program named path2max to promote diversity in biomedical data sciences, which aims to actively recruit students from underrepresented groups and various career levels. More information is available at the Rahnavard Lab website: https://www.rahnavard.org/.