NAU SICCS Machine Learning Research Laboratory
The members of our group are working on projects that involve developing new statistical models, optimization algorithms, interactive systems, and software for machine learning.
Convex optimization algorithms for clustering, ICML’11 | Constrained changepoint detection algorithms, ICML’15 | Supervised learning for peak detection in epigenomic data, Bioinformatics (2017) |
Jobs
The lab is recruiting undergraduate, masters, and PhD students who are interested to get paid to work on new statistical models, optimization algorithms, interactive systems, and software for machine learning – if you would like to join us, either during the school year, or for a summer research internship, please see the application instructions here.
Coding Internships
To support our research projects, our lab develops free/open-source software packages for machine learning. To teach students how to code free/open-source software for machine learning, we participate as mentors in Google Summer of Code (for college students) and Google Code-In (for high school students during winter break).