Warren Anderson, Ph.D.
Warren is currently an AHA Postdoctoral Research Fellow. Warren earned his PhD degree in Neuroscience, with a specialization in Systems Biology, from Thomas Jefferson University in 2016. Warren has worked in neurophysiology and cardiac electrophysiology with a focus on understanding how ion channels regulate synaptic integration, neuomodulation-respose phenotype, and arrhythmogenesis. He developed novel mathematical models that revealed new insights into the mechanisms of neuroinflammation and the autonomic nervous systems’ integrated contributions to the development of hypertension. He is currently working with Dr. Mete Civelek (http://civeleklab.org/) and Dr. Michael Guertin to elucidate the genetic influences on coronary artery disease through regulating vascular smooth muscle cell cytokine signaling-mediated transcriptional dynamics. He is also studying the genetic basis of sex-specific adipose distribution patterns associated with obesity and cardiometabolic disease risk.
Sathyan Kizhakke Mattada
Sathyan join the Guertin lab as a Research Scientist in January 2017. Sathyan earned his Ph.D. in 2007 in cancer biology from the University of Kerala. Sathyan specialized in centromere and chromatin biology. He received DOD Visionary Postdoctoral Fellowship. Currently he is using genome-editing tools to tag transcription factors endogenously to study their roles in the transcriptional response to estrogen signaling in breast cancers.
Arun Dutta is an MSTP student who joined the Guertin lab as a Biomedical Sciences PhD student in April 2018. Arun’s project interrogates the mechanism by which transcriptional cofactors are recruited to DNA.
UVA graduate students are encouraged to contact Dr. Guertin by email to discuss opportunities to rotate within the lab.
The Guertin lab is also seeking candidates for postdoctoral positions. Our lab is at the interface of molecular biology and computational biology; we develop and adopt experimental techniques and software to study basic mechanisms of transcription and chromatin function within the context of cancer biology. The group is looking to fill two openings: 1) an experimental biologist who will generate genomics data to address fundamental questions about cancer biology and transcriptional regulation; 2) a computational scientist who will development novel methods for interpreting genomics data in the context of transcriptional regulatory networks. Explore the appropriate link above for details.