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Welcome to the home page of the Data Systems & Solutions Lab (DASSL, read dazzle).

Founded and headed by Dr. Sean Murthy, DASSL is a research group with broad focus on data science and data-intensive systems. The focus includes analyzing, organizing, designing, building, verifying, and managing data and data-intensive systems. The focus also includes hardware design to the extent they relate to performance of data-intensive systems.

DASSL is open to all. Students and faculty from Computer Science, Math, Physics, Chemistry, Finance, Economics, and other disciplines where data analysis is involved will likely be interested in participating (even if they are not interested in building software). DASSL is also open to non-CS inter-disciplinary collaboration.

DASSL provides opportunities for students to build online portfolios of their work. Portfolios can include source code, test plans, documentation, and other artifacts employers often review in the hiring process.

DASSL runs throughout the year, but special Summer and Winter sessions are offered specifically to promote scientific research and scholarship among undergraduate students, as well as to introduce students to modern tools and processes in software and data engineering.

People

Current student members:

Current collaborators:

Past student members:

Projects

DASSL is a GitHub educational organization with practically all its work maintained in GitHub repositories. The following projects are presently in public repositories. Other projects are in private repositories with plans to make them public when approrpriate.

Joining DASSL

Contact any current member of DASSL. If sending a mail, please mention “DASSL” in the subject line.

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Unless stated otherwise, the material on this site is distributed under Creative Commons License BY-NC-SA 4.0. Material due to others is clearly marked and DASSL claims no ownership, copyright, or distribution rights to such material. Please notify DASSL if you spot attribution (and other) errors.

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