I am a Research Scientist at Arizona State University, where my work focuses on developing non-invasive diagnostic tools for infectious diseases using volatile organic compounds (VOCs) and metabolomics. I earned my PhD in Microbiology from ASU, where my dissertation centered on identifying volatile biomarkers for a Valley fever breath test. My research integrates microbiology, analytical chemistry, and data science to better understand host–pathogen interactions and translate these findings into clinically relevant diagnostics.
A key component of my work involves analyzing high-dimensional datasets generated from GC×GC-TOFMS platforms, requiring robust statistical learning approaches and reproducible workflows. Through programs such as DAIR³, I have strengthened my focus on rigorous, transparent, and scalable data analysis practices, including the development of reproducible pipelines and interactive tools for broader research use.
My career path is somewhat non-traditional, beginning in archaeology before transitioning into microbiology, which has shaped my interdisciplinary perspective and problem-solving approach. I am also committed to mentorship and collaboration, working with trainees and colleagues across institutions to advance reproducible biomedical data science and translational research.
