MATCHPOINT

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 Hub 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 or student applications, you will need to create an account on this site and login.

Displaying 1 - 12 of 12 projects. Click on the column headers to sort.

Project Short Description Status Domain Expert Domain Expert Department Methods Expert Methods Student Funding Methods Student Openings Participating Students Last Date Updated
Whale and Dolphin sound classification Underwater sound recordings of whales and dolphins have been manually annotated for known sounds to development of automated classification methods. Active John Hildebrand Scripps Institution of Oceanography Yoav Freund no 4.00 2018-11-27
Water Data Analysis The goal of this project is to analyze datasets for water and waste water data related to a number of problems in utility and infrastructure management Active Raj Patil AEEC Volkan Vural no 2018-11-27
Event Based Traffic Prediction Event based traffic prediction using Machine Learning Active Maksim Peckerskiy City of San Diego Volkan Vural no 2018-11-27
Discovering the Ocean Floor Using Data Science This project aspires to extend ocean exploration into the data dimension by utilizing modern and historic open-access data . We will apply machine learning techniques to ocean floor imagery to explore sea floor geology, ocean sediments, sea life and more! Active Vicki Ferrini Lamont-Doherty Earth Observatory Ilkay Altintas no 1.00 2018-11-07
Predictive model of campus foot traffic We collect foot traffic data from phones in an area with our sensors. we make a predictive foot traffic model for the area using past data and elements that impact such as weather, day of the week, local events. Sensors are installed in Geisel and Biomed Library, RIMAC and Main Gym, and other locations. Active Nicholas Halverson None Peter Gerstoft no 2018-11-27
Machine learning for ocean sound sources and environment Using underwater sound pressure from active and passive sources to train machine learning models for various applications. Active Emma Ozanich Scripps Institution of Oceanography Peter Gerstoft no 2.00 2018-01-18
Online medical crowdfunding: Correlates of funding success Exploring the phenomenon of web-based crowdfunding for medical treatment. Active Cinnamon Bloss Department of Psychiatry, School of Medicine no 2018-11-27
Clinical NLP and Medical Note Analysis Clinical Natural Language Processing (cNLP) to large corpora of medical notes. Active Chun-Nan Hsu Biomedical Informatics Julian McAuley no 2017-04-06
Histology Browser A web portal for viewing and annotating stacks of histology images. Active David Kleinfeld Physics Yoav Freund yes 0.50 2018-10-24
Global Bathymetry: Machine Learning for Data Editing Develop a machine learning algorithm to edit seafloor bathymetry soundings. Archived David Sandwell Scripps Institution of Oceanography Yoav Freund no 2018-11-27
Whale classification from echo-location clicks Develop a classifier of whale species using underwater recording of echo-location clicks Archived John Hildebrand Scripps Institution of Oceanography Yoav Freund no 2018-11-27
Honey Bee Waggle Dance Automate the analysis of videos capturing the honey bee waggle dances. Archived James Nieh Behavioral Ecology Yoav Freund no 2017-04-06