I enjoy working at the intersection of chemistry, biology, computer science and statistics to address issues with human health. This interest drove me to pursue a PhD in biomedical informatics at the Ohio State University, where I became involved in untargeted metabolomics and lipidomics research. I’m currently employed as a bioinformatics scientist through Axle Informatics at the National Center for Advancing Translational Sciences. I also work part-time as a blogger for Data Revenue GmbH.

In 2015 I graduated from the State University of New York at Geneseo with a B.S. in Biochemistry and a minor in Biomathematics. From 2015-2016 I was a Postbaccalaureate Fellow in the lab of Dr. Michael Ombrello at the National Institute of Arthritis and Musculoskeletal and Skin diseases, looking for ultra-rare genetic variants associated with systemic juvenile idiopathic arthritis. I then joined the lab of Dr. Ewy Mathe at the Ohio State University in the Biomedical Informatics department, where I completed my doctoral thesis titled “Integrative and Network-Based Approaches for Functional Interpretation of Metabolomic Data”, defended in June 2021.In 2020 our group moved to the National Center for Advancing Translational Sciences, where I now work in the Division of Preclinical Innovation.

I am an early career member of the Metabolomics Association of North America, the Metabolomics Society, and the American Society for Mass Spectrometry. I use the R programming language on an almost daily basis to analyze mass spectromety/metabolomics data, and develop new methodology for pathway analysis of metabolomics or multiomic data.

Please see my full CV here.

See my Google Scholar page for more info on my publications.