I am a Data Scientist, Software Developer, Bioinformatician, and Instructor with over 20 years of software development and project management experience, as well as advanced biostatistics skills.
I am currently a PhD student in Health Data Science – Bioinformatics at George Washington University, with research interests in applying artificial intelligence to the analysis of genomic, metabolomic, microbiome, and other omics data. In my doctoral research, I am applying novel genomic language models (gLMs) to improve omics characterization over traditional, search-based techniques.
For the past eight years, I have been a sought-after health data science consultant and instructor both within and beyond GW. As an expert R and Python programmer, I practice and advocate for best practices in collaborative, open, and reproducible research — and I teach other researchers the fundamental data and computational skills they need to grow and succeed in their research.
Highlights
- Co-author of two 2025 papers in JAMA journals on precision psychiatry and perinatal mental health — see Publications
- Doctoral research benchmarking genomic language models for taxonomic and functional profiling in human microbiome multi-omics — see Research & Projects
- Certified Carpentries instructor; have organized and taught Data Carpentry workshops across the U.S. and internationally — see Teaching
- Developer of Social Feed Manager and other open-source tools for researchers — see Experience
Education
- Ph.D., Health Data Science – Bioinformatics, George Washington University, expected 2028
- M.S., Health and Biomedical Data Science – Applied Bioinformatics, George Washington University, 2024
- M.S., Systems Engineering, University of Virginia, 1996
- B.S., Applied and Engineering Physics, Cornell University, 1994