Computationally-Driven Experimental Biology
This program offers the rare chance to receive both biology and computer science training. If you don’t have training in both, that’s not a problem. You will have it when you leave!
Join our research team
Involving students in multiple aspects of a single research project brings exposure to real-life team science; how computer science, mathematics, and experimental cell biology all play an integral role in studying cellular processes and discovery of new data. Students will present their research and findings to peers and faculty at the Virginia Tech Research Symposium on July 30, 2020 with other summer students.
Train with top-tier technology experts
Program Structure, Opportunities, and Resources
During this 10-week summer program, Dr. Murali will introduce undergraduate students to network biology algorithms. Students will apply the techniques developed in this project to reconstruct yeast and human signaling pathways and learn how to post these networks to GraphSpace. Students will be able to build upon the yeast models developed in his group and learn how to simulate them and make testable predictions, including the ones students tested earlier in the summer.
Computationally-Driven Experimental Biology Summer Program Structure
- 10 weeks from May 26 to July 31, 2020
- Weeks 1-6 - Use network algorithms to reconstruct yeast pathways (May 26 – July 3)
- Weeks 7-9 - Build mathematical models of yeast pathways (July 6- July 24)
- Week 10 - Present poster at REU research symposium at Virginia Tech (July 30th)
- Team research with dedicated faculty and fellow student-researchers
- Housing and board provided at Virginia Tech (dorm and campus dining plan where applicable, we make arrangements)
- $4,000 Stipend provided
Participants will be expected to meet the following requirements:
- Demonstrate an academic background in biology and/or computer science. We welcome applicants majoring in fields such as computer science, biology, bioinformatics, systems biology, and related areas.
- Be an undergraduate attending a US university.
- Be available from May 26th through July 31st for the program (please do not plan on leaving for personal leave anytime during the program, i.e. vacation). Students should plan on arriving on campus the day before and leaving the day after the program ends.
- Submit a copy of an unofficial transcript and resume at the time of application.
- Submit the name/emails of 2 faculty that can provide a recommendation at the time of application. We will contact them to provide an online recommendation.
- Display necessary qualities for working both independently and within a diverse team structure: high motivation, good communication skills, and strong work ethic.