As a bioinformatician, I specialize in analyzing sequencing data, particularly focusing on metagenomics and its integration with other omics types. My passion lies at the intersection of computing and biology, where I am deeply intrigued by the potential for machine learning and artificial intelligence to advance our understanding of intricate biological systems.

2023-Present, LLNL - Nuclear and Chemical Sciences Division, Postdoctoral Research Scientist

2023, Colorado State University, Ph.D., Cell and Molecular Biology

2022, Colorado State University, Graduate Certificate, Data Analysis

2019, Colorado State University, M.S., Microbiology

2012, University of Hawai'i at Manoa, B.S., Biology

1. Baniasad, M., Kim, Y., Shaffer, M., Sabag-Daigle, A., Leleiwi, I., Daly, R.A., Ahmer, B.M.M., Wrighton, K.C., Wysocki, V.H. Optimization of proteomics sample preparation for identification of host and bacterial proteins in mouse feces. Anal Bioanal Chem 414, 2317–2331 (2022). https://doi.org/10.1007/s00216-022-03885-z

2. Leleiwi, I., Rodriguez-Ramos, J., Shaffer, M. et al. Exposing new taxonomic variation with inflammation — a murine model-specific genome database for gut microbiome researchers. Microbiome 11, 114 (2023). https://doi.org/10.1186/s40168-023-01529-7