Announcements of Opportunity
SURF: Announcements of Opportunity
Below are Announcements of Opportunity posted by Caltech faculty and JPL technical staff for the SURF program. Each AO indicates whether or not it is open to non-Caltech students. If an AO is NOT open to non-Caltech students, please DO NOT contact the mentor. Announcements of Opportunity are posted as they are received. Please check back regularly for new AO submissions!
Remember: This is just one way that you can go about identifying a suitable project and/or mentor. Click here for more tips on finding a mentor. Announcements for external summer programs are listed here.
*Students applying for JPL projects should complete a SURF@JPL application instead of a "regular" SURF application.
*Students pursuing opportunities at JPL must be U.S. citizens or U.S. permanent residents.
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| Project: | Probabilistic Modeling of Genome Evolution | ||||||||
| Disciplines: | Biology, or any discipline with the right background | ||||||||
| Mentor: |
David Liberles,
Associate Professor of Biology, (BBE),
daliberles@temple.edu, |
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| Mentor URL: | https://sites.temple.edu/liberles/ (opens in new window) | ||||||||
| Background: |
NOTE: This project is being offered by a Caltech alumnus and is open only to Caltech students. The project will be conducted at Temple University in Philadelphia, Pennsylvania. The project involves building new probabilistic models that combine processes at the biochemical level with those at the evolutionary and population genetic level. |
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| Description: | Working towards an understanding of problems like duplicate gene retention, gene content evolution in genomes, and metabolic and signaling pathway evolution, the student will write new mathematical models to simulate these processes in python. Models are typically, but not exclusively written as Markov Processes. The modeling project will be used to explain how different biological parameters can lead to different outcomes and which ones are statistically consistent with observations from genomes. | ||||||||
| References: | This will be provided after an initial discussion. | ||||||||
| Student Requirements: | Computer programming skills, preferably in python, some background in genetics or genomics, and preferably exposure to probability theory are suggested. Students aiming at pursuing graduate studies in computational genomics are particularly encouraged to apply. | ||||||||
| Programs: |
This AO can be done under the following programs:
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