Amgen Scholars: Announcements of Opportunity
Below are Announcements of Opportunity posted by Caltech faculty for the Amgen Scholars program.
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. For additional tips on identifying a mentor click here.
Please remember:
- Students pursuing Amgen must be U.S. citizens, U.S. permanent residents, or students with DACA status.
- Students pursuing Amgen must complete the 10-week program from June 21 - August 25, 2023. Students must commit to these dates. No exceptions will be made.
- Accepted students must live in provided Caltech housing.
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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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