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 - 20 of 20 projects. Click on the column headers to sort.

Project Short Description Status Domain Expertsort descending Domain Expert Department Methods Expert Methods Student Funding Methods Student Openings Participating Students Last Date Updated
Boosting Neural Networks This goal of this project is to compare the capabilities of a cascade of shallow neural networks relative to a single deep neural network. Active Yoav Freund Computer Science and Engineering Yoav Freund no 2.00
2021-09-02
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
Histology Browser Software for viewing, analyzing and aligning brain image stacks. Archived David Kleinfeld Physics Yoav Freund yes 0.50 2020-07-16
BrainSharer Seeking an expert in Typescript for a project in three dimensional brain anatomy. Active David Kleinfeld Physics Yoav Freund yes 1.00 2021-12-15
Active Brain Atlas Construction of an active digital atlas of the mouse brain, with current emphasis on the brainstem. This is a full stack project that spans from data acquisition to imaging processing to computational anatomy. Involves Prof. Y. Freund in CSE, Prof. D. Kleinfeld in Physics and Neurobiology, and their professional associates. Archived David Kleinfeld Physics Yoav Freund yes 1.00
2021-09-02
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
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. Archived John Hildebrand Scripps Institution of Oceanography Yoav Freund no 4.00 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
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 1.00 2018-12-18
Online medical crowdfunding: Correlates of funding success Exploring the phenomenon of web-based crowdfunding for medical treatment. Archived Cinnamon Bloss Department of Psychiatry, School of Medicine no 2018-11-27
Precision Medicine: Predict the Effect of Genetic Variations Large-scale genome sequencing aims to uncover the role of genetic variants. In this project we will develop machine learning models to predict the effect of missence mutations. Active Peter Rose San Diego Supercomputer Center 1.00 2020-07-24
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
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
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
San Diego Housing Value Prediction Developing Machine Learning based techniques to predict the property values in San Diego County Active Volkan Vural San Diego Supercomputer Center Volkan Vural 2020-07-24
YouTube Video Analytics Creating an automatic labeling scheme for YouTube Data based on social comments and Video Features using a set of Weak Learners and Association Engines Active Amarnath Gupta San Diego Supercomputer Center, Computer Science and Engineering Amarnath Gupta no 2.00 2020-07-24
Event Based Traffic Prediction Event based traffic prediction using Machine Learning Active Maksim Peckerskiy City of San Diego Volkan Vural no 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
Molecular Diagnosis of Pediatric Brain Disease Our lab at the UCSD School of Medicine is looking for data scientists interested in learning about genomic data for analysis and algorithm design. We work at the interface of neurogenomics and computational analysis. One of our major projects is on computationally identifying mosaic genetic mutations, which are genetic changes in only a small percent of the DNA molecules, but that can have devastating consequences in the brain. Detecting these mutations is computationally very challenging, and is a active area of research. Active Joseph Gleeson Neurosciences no 2.00 2022-09-18
Unsupervised analysis of freely moving subjects in behavioral videos Use computer vision and probabilistic modeling to characterize behavior in freely-moving human participants. Active Arpi Minassian Psychiatry Gal Mishne no 1.00 2021-04-09