Andrew Fiore-Gartland is a computational biologist at the Fred Hutchinson Cancer Research Center. His research interests include understanding the human immune response to vaccines, particularly novel HIV vaccine candidates. His work is split between the analysis of immunological and virological data, development of statistical methods that accommodate multiple and new types of biological data, and the design of experiments and clinical trials.
As a new Research Scientist at the eScience Institute he is excited to engage with us on many fronts. He is interested in and wanting to contribute to how data science is taught at the University, especially for domain scientists both in traditional classrooms as well as through “bootcamps,” DSE Incubator projects, and consulting/office hours.
He is also excited for opportunities to collaborate and share ideas in this new multidisciplinary space. Practically, he’s most familiar with the Python data science and bioinformatics stack (i.e. numpy, scipy, pandas, ipython, biopython, etc.), but also has experience with Matlab and other languages. Most weeks he will be in the DSS on Wednesdays.
- By appointment
- Python (esp. numpy, pandas, scipy, scikit-learn)
- Biology (esp. neurobiology, immunology, virology)
- Bioinformatics, phylogenetics and other sequence analysis