Project Description
This project is working to improve the performance and ease-of-use of computational tools commonly used for population genetics - these tools are used to generate and test biological hypotheses about human origins, evolution, and ancestry. In particular, the student on this project will be working in the C and Python programming languages to efficiently extract key summary statistics from simulated and sampled genomic data. Depending on the resulting performance, this project may involve the use of multi-threading libraries, such as pthreads or OpenMP. This project is a collaboration between the Electrical and Computer Engineering Department and the Department of Anthropology.
Special Requirements
Students should be confident in the C or C++ and Python programming languages. Recommended prerequisites for this position include CSCI 2270 (Data Structures) and ECEN 2360 (Programming Digital Systems) or CSCI 2400 (Computer Systems).
Contact
- Joseph Izraelevitz (faculty)
- Fernando Villanea (faculty)