Dr. Candice Ulmer, a native of South Carolina, graduated from the College of Charleston in 2012 with a B. S. in both Chemistry and Biochemistry. While at the College of Charleston, Candice investigated pharmaceutical photodegradation of NSAIDs (ibuprofen and naproxen) in the environment using traditional HPLC and ESI-LC-MS/MS under the direction of Dr. Wendy Cory. Candice recently graduated (May 2016) with a PhD in Chemistry as a McKnight Doctoral Fellow from the University of Florida in Dr. Richard A. Yost’s research group. Her graduate work was divided into two main metabolomics/lipidomics applications, Type 1 Diabetes and Melanoma Skin Cancer. In both applications, she applied UHPLC-HRMS techniques to profile the metabolome/lipidome of human cells and tissues in an effort to better understand disease etiology. Dr. Ulmer’s research comprised experience with various modes of ionization (e.g., MALDI, ESI, APCI, DESI, FlowProbe, and DART). She also incorporated novel stable isotope labeling methodologies such as Isotopic Ratio Outlier Analysis (IROA) to aid in the identification of metabolites as compound identification is still considered a bottleneck in metabolomics studies. In addition to her duties as a graduate student, she was an active researcher with the NIH-funded Southeast Center for Integrated Metabolomics (SECIM). Dr. Ulmer is a member of the Florida mass spec discussion group and the ASMS diversity committee in an effort to increase diversity at conferences and ASMS supported events. Currently, Dr. Candice Ulmer is a NIST NRC Post-Doctoral Research Associate who began her appointment in June 2016 at the Hollings Marine Laboratory in Charleston, SC. She is working in the newly formed NIST research group focused on “omics” measurement and its application to both human and environmental health. As a NIST NRC post-doctoral fellow, she is involved with multi-omic method development to integrate approaches in biomedical applications and monitor the effects of environmental exposures on human/marine life, as well as the first Interlaboratory Lipidomics Study which assesses variance lipid measurement in order to develop an lipidomics SRM.