Scalable Analytics and Informatics Laboratory
We develop machine-learning methods and scientific software for biological data, document intelligence, and collaborative research.
- Based in
- Honolulu, Hawaiʻi
- Affiliations
- Information & Computer Sciences
Hawaiʻi Institute of Marine Biology - Research areas
- Computational biology
Language models
Scientific software
Research
Current research
Our work connects method development with problems arising in biology, scientific data, and collaborative computing.
Biological language models
Protein and genome representations for viral function, phenotype, and ecology.
Scientific and document intelligence
Language-aware methods for semantic typing, interpretation, and research decision-making.
Scientific software
Scalable, reproducible environments for data-rich scientific collaboration.
Selected publications
Recent work
Extending Protein Language Models to a Viral Genomic Scale Using Biologically Induced Sparse Attention
T. Dejean, B. Ferrell, Z. Schreiber, W. Harrigan, R. Sawhney et al.
Fine-Tuning Protein Language Models Unlocks the Potential of Underrepresented Viral Proteomes
R. Sawhney, B. Ferrell, T. Dejean, Z. Schreiber, W. Harrigan et al.
Machine Learning-Based Characterization of Bacillus anthracis Phenotypes from pXO1 Plasmid Proteins
W. Harrigan, T. H. A. La, P. Dahal, M. Belcaid & M. H. Norris
Improvements in Viral Gene Annotation Using Large Language Models and Soft Alignments
W. Harrigan, B. Ferrell, K. E. Wommack, S. Polson, Z. Schreiber & M. Belcaid
Updates
From the lab
Contact
Work with us
We welcome conversations with students, researchers, and collaborators working at the intersection of computation and science.
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