|Convex optimization algorithms for clustering, ICML’11||Constrained changepoint detection algorithms, ICML’15||Supervised learning for peak detection in epigenomic data, Bioinformatics (2017)|
The lab is recruiting undergraduate, masters, and PhD students who are interested in working on convex and discrete optimization algorithms, data visualization techniques, and interactive systems for machine learning – if you are interested in joining please email lab director email@example.com with your CV and a cover letter.
Paid research internships are available for students interested in developing new algorithms/software for supervised changepoint detection in large data sequences.
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).