Project Mentor
Dr. Reinhard Laubenbacher
Center for Quantitative Medicine
Undergraduate Research Opportunity Description
| Project Description | The student project is part of a larger program to develop a collection of algorithms for mathematical modeling and data analysis in biomedicine. The collection of algorithms is intended to be “crowd sourced,” in the sense that algorithm developers from around the world can upload their own algorithms and link them with already posted algorithms into workflow pipelines. For this purpose, we are developing two tools that facilitate the packaging of algorithms and their computational environment into Docker containers, and connect them together through a drag-and-drop tool.The role of the student in the project is to contribute to the further development of these two tools. |
| Project Direction | The broader research direction of this project is to develop computational tools for biomedicine and the life sciences that can be widely and easily used by the computational biology community. |
| Mentorship and Supervision | The student will be supervised by Dr. Reinhard Laubenbacher, together with other team members working on the project. Dr. Laubenbacher will meet with the student weekly, in addition to regular project meetings. Feedback will be provided during those meetings. The student will also be required to periodically submit brief written progress reports. |
| Student Qualifications | Excellent programming skills, in particular Java and Python, experience with web-based tools, knowledge of algorithm design, ability to work effectively in a team. |
| Summer Schedule Options | Research Dates: May 28 to August 2, 2019 Schedule: M-F, 9am-5pm |
| Project Continuation | Fall 2019, Spring 2020 |
| Academic Year Time Commitment | 6 hours/week |
| Possible Thesis Project | Yes |
Application
Submit an online application for this research opportunity at https://quest.uconn.edu/prog/HRP19-9/. The application deadline is Monday, February 4, 2019.
This application requires a cover letter, a resume or CV, an unofficial transcript, a brief statement of research interests, and a brief statement of career interests.