Mentor Areas
The Gao lab aims to address questions in human genetics in an evolutionary context by computational approaches. Our research interests include the impacts of natural selection on the human genome and phenotypes, the mechanisms and timing of mutagenesis, and the genetic basis and evolution of human complex traits and disease.
Description:
We use population genetics to learn about human biology, history and evolution. Our team is particularly interested in mutation processes and natural selection in human populations. We aim to understand the mechanisms and timing of mutagenesis in the germline and somatic tissues, the causes and consequences of mutation rate variation, and the selection pressure on DNA maintenance genes. To answer these questions, we combine mathematical modeling and statistical analysis of genomic data from human populations and other species.
Potential projects for undergraduates:
- Characterize the mutagenic effects of DNA methylation
- Variation in mutation rate and spectrum in human populations
- Evolution of DNA repair and replication genes
- Simulate genetic causes of pregnancy loss
Interested? Get in touch by email to learn more about our research.
Preferred Qualifications
- Fundamentals in mathematics (e.g., calculus, linear algebra)
- Proficiency in one or more programming languages (e.g., R, Python, Perl, C/C++)
- Interest in biomedical science
- Coursework in biology is preferred but not required.
We will provide comprehensive training in biology, genetics, and statistics. I will also help you refine your critical thinking, analytical and scientific communication skills, which will help you prepare for graduate school or other career paths.
Project Website
Learn more about the researcher and/or the project here. Gao Lab
Details:
Preferred Student Year
Second-Year, Junior, Senior
Academic Term
Fall, Spring, Summer
I prefer to have students start during the above term(s).Volunteer
Yes
Yes indicates that faculty are open to volunteers.Paid
Yes
Yes indicates that faculty are open to paying students they engage in their research, regardless of their work-study eligibility.Work Study
Yes
Yes indicates that faculty are open to hiring work-study-eligible students.