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Goergen Institute for Data Science: Research Project Presentations

The Goergen Institute for Data Science trains Bachelor’s and Masters’ degree students who are interested in working on biomedical and/or clinical research projects. Ideal projects can come from any area of research or discipline but should have a large data-intensive component.

Students can consider:

  • Capstone/Practicum (unpaid, team of 4 students for a semester-long project as a requirement of graduation; co-advised by data science instructor)
  • Independent Research (unpaid, 3-6 credits, training oriented) or research trainee (unpaid, voluntary/no credit, training oriented)
  • Internship (paid, summer, deliverable oriented)
  • Co-op (paid, 6 months, deliverable oriented)
  • Post graduate employment (paid, short-term or long term)

Call for Abstracts: If you have a project that you would like to have considered, please submit a Project Description that includes a one-page abstract, aims or description of your proposed project. Please make sure to include a brief description of the data set and type of project you anticipate a student would work onProject descriptions are due Friday, January 10 by COB.

Project requests will be evaluated by members of the School of Medicine and Dentistry Scientific Advisory Committee (SMDSAC) and Goergen Institute for Data Science for merit and feasibility. The projects selected to move forward will be asked to prepare and present a poster describing the project on Friday, January 24th from 11:30am - 1:00 pm in the Flaum Atrium at a networking meeting of the investigators and the GIDS students. Students and investigators will have the opportunity to interact and to discuss the projects together face to face.

Friday, January 24 at 11:30am to 1:00pm

Sarah Flaum Atrium
415 Elmwood Ave Rochester, NY 14642

Event Type

Information Sessions and Fairs




graduate studies

Goergen Institute for Data Science
Contact Phone or Email

Questions about projects can be directed to and logistic/administrative questions to

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