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Our Team

Current Members

James Rudd

James Rudd, MS

PhD Candidate in Quantitative Biomedical Sciences
James.E.Rudd.gr@dartmouth.edu

James recieved his MS in Computer Science from North Carolina Central University and joined the Quantitative Biomedical Sciences program in order to better integrate his computation background with biostatistical and epidemiological frameworks. His research interests involve the use of bioinformatics to solve epidemiological problems. As a member of the Doherty lab, James is working to model molecular subtypes of ovarian cancer and has been awarded an F31 fellowship from the National Cancer Institute.
Ellen Nutter

Ellen “Elle” Nutter

PhD Student in Quantitative Biomedical Sciences
Ellen.L.Nutter.gr@dartmouth.edu

Elle did a rotation in the Cancer Epidemiology Laboratory during the summer of 2015, and eagerly decided to stay on for her thesis work. She is currently working on a genetic association study for lung cancer susceptibility, and is interested in continuing to do research pertaining to the genetic and environmental risk factors for lung cancer. Her major interests lie within the realm of disease prevention and translational research. Elle is co-mentored by Dr. Tracy Onega.
Jason Wells

Jason Wells

QBS PhD Rotation Student

Jason graduated from UC Davis with a focus on Genetics. In his rotation project, Jason is characterizing the distribution of long non-coding RNAs in gene expression subtypes of ovarian cancer in African American women, and determining whole transcriptome gene expression patterns associated with expression of long non-coding RNAs in ovarian cancer.

Past Members

Sara Karami

Sara Karami, PhD

Post-doctoral Fellow

Dr. Karami received her PhD in Epidemiology from the George Washington University. She joined the lab after a post doc at the National Cancer Institute, with over 30 publications. During her post doc at Dartmouth, she submitted a very large scale analysis of over 200,000 telomere structure and maintenance gene variants and risk of lung, ovary, prostate, breast and colon cancers in over 60,000 cancer cases and 70,000 controls. She now splits her time between our lab and her position as an epidemiologist at the US Food & Drug Administration.

Savannah Barnett

Savannah Barnett

PEMM PhD Rotation Student

Savannah received two BS degrees from Longwood University in Chemistry and Biology with a concentration in Biomedical Health. Her rotation project examined whether the frequency of gene mutations differs by gene expression subtypes of ovarian cancer. In particular, she characterized the relationship between functional categories of P53 mutations and subtype distribution.

Tony Zhao

Tony Zhao

MCB PhD Rotation Student

Tony has a background in Biopharmaceutics and an MS in MCB from Brandeis. Following work on metagenes by James and Emily, Tony is characterizing metagenes in gene expression subtypes of ovarian cancer in African American women.

gregory-way

Gregory Way

QBS PhD Rotation Student

Greg graduated from The College of New Jersey in 2011 with a BS in Biology and from Saint Joseph's University in 2014 with an MS in Biology. He rotated in the Doherty lab in 2014, where he worked to agnostically identify subtypes of ovarian cancer, and submitted a manuscript summarizing these findings. He is currently a Ph.D. student in Dr. Casey Greene's Integrative Genomics Lab at the University of Pennsylvania's Genomics and Computational Biology program. He is interested in integrating genomic data to develop new methods to improve human health. His goal is for these methods to help address large scale human health problems such as cancer and other complex human diseases.

Emily Shea

Emily Shea

Dartmouth MD-PhD Undergraduate Summer Fellow

Emily joined us as a Dartmouth MD-PhD Undergraduate Summer Fellow from Williams College. She worked closely with James to perform bioinformatics-based analyses to characterize gene expression pathways in ovarian cancer subtypes. While here, she also had the opportunity to shadow MD-PhD students and clinical faculty.

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Kiko

Kiko

Kiko loves to hang out with QBS students!

Super Cluster

Super Cluster

Super Cluster works closely with all lab members, using his super powers to comprehensively identify the defining features of clusters of ovarian cancer subtypes that we observe across populations.