Are you looking for a data scientist to work with you on your data?
Are you a data scientist looking for interesting projects?

If so, you have come to the right place. MATCHPOINT is a matching sevice provided by the Data Science Office at SDSC. Its goal is to match Domain experts and students with Methods experts and students to create interdisciplinary working teams that can take on challenging problems in data science and analytics. Learn more about how MATCHPOINT works.

Below you'll find a list of MATCHPOINT past, current and future projects. If you are a data scientist, you can find leads to interesting projects here. If you are a PI with a data science problem, create an entry so that people can find you. To see full project details and expert contact information, and to submit new projects, you will need to create an account on this site and login.

Displaying 1 - 6 of 6 projects. Click on the column headers to sort.

Projectsort descending Short Description Status Domain Expert Domain Expert Department Methods Expert Methods Student Funding Methods Student Openings Last Date Updated
Clinical NLP and Medical Note Analysis Clinical Natural Language Processing (cNLP) to large corpora of medical notes. Proposed Chun-Nan Hsu Biomedical Informatics Julian McAuley no 0.00 2017-04-06
Global Bathymetry: Machine Learning for Data Editing Develop a machine learning algorithm to edit seafloor bathymetry soundings. Proposed David Sandwell Scripps Institution of Oceanography Yoav Freund yes 2017-04-30
Histology Browser A web portal for viewing and annotating stacks of histology images. Active David Kleinfeld Physics Yoav Freund yes 0.50 2017-04-06
Honey Bee Waggle Dance Automate the analysis of videos capturing the honey bee waggle dances. Active James Nieh Behavioral Ecology Yoav Freund no 0.00 2017-04-06
Online medical crowdfunding: Correlates of funding success Exploring the phenomenon of web-based crowdfunding for medical treatment. Proposed Cinnamon Bloss Department of Psychiatry, School of Medicine 2017-05-15
Whale classification from echo-localtion clicks. Develop a classifier of whale species using underwater recording of echo-location clicks Proposed John Hildebrand Scripps Institution of Oceanography Yoav Freund 1.00 2017-04-06