Christina Bergey

Christina Bergey is an Assistant Professor in the Department of Anthropology at Rutgers University, within the School of Arts and Sciences. Her research lies at the intersection of evolutionary biology, genomics, and human health, focusing on how natural selection has shaped complex traits in humans, non-human primates, and disease vectors such as mosquitoes.

Her research interests include:

• Evolutionary genomics of adaptive traits
• Human adaptation to rainforest environments, particularly body size evolution in hunter-gatherers
• Co-evolutionary dynamics between malaria, its primate and human hosts, and mosquito vectors
• Gene flow and hybridization in African primates
• Impact of ecological, behavioral, cultural, and anthropogenic factors on evolutionary processes

She employs population genomic and statistical genetic methods to test evolutionary hypotheses, with implications for understanding modern medical conditions through an evolutionary lens. Her work bridges computational approaches with biological insight to explore the genetic basis of adaptation.

Dr. Bergey's scholarly output is available on her Google Scholar profile, which reflects her active contributions to the fields of genomics and evolutionary anthropology. Her research program emphasizes integrative, data-driven science with broad relevance to human health and biodiversity.

Scientific Awards:

• No specific awards mentioned in the provided text.

Advising and Grants:
While specific students or grant awards are not listed, Dr. Bergey leads an active research program focused on evolutionary genomics. She likely mentors graduate and undergraduate students in anthropology, genetics, and computational biology, and her projects suggest involvement in externally funded research related to human evolution and infectious disease dynamics.

Labs and Research Teams:
Dr. Bergey leads a research group at the Nelson Biology Laboratory (Room B416) at Rutgers, where her team applies genomic tools to address fundamental questions in evolutionary biology. Her lab integrates bioinformatics, statistical modeling, and comparative genomics to study adaptation across species.