The QBS program seeks to train highly qualified students in bioinformatics, biostatistics, epidemiology, and health data science for careers in academia and industry. Students can apply to either the interdisciplinary PhD program or the Masters program with a concentration in Health Data Science. Our philosophy is that the modern biomedical scientist must be able to speak more than one language to successfully collaborate in a highly multidisciplinary environment.
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Join Us at an Upcoming Graduate & Professional Fair
Sept. 19th: Idealist Grad Fair in NYC
Sept. 25th: Big 10 Grad Fair at Purdue University
Sept. 25th: Idealist Grad Fair in Boston
Sept. 27th: Dartmouth College Grad Fair
Sept. 27th: Cornell University Grad Fair
Sept. 28th: Smith College Grad Fair
Oct. 2nd: Colby Grad Fair
Oct. 3rd: Bates Grad Fair
Oct. 3rd: Bowdoin Grad Fair
Oct. 11th: Idealist Grad Fair in San Francisco
Oct. 23rd: Stanford Grad Fair
Oct 26th: UC Santa Cruz Grad Fair
Nov. 1-4th: ABRCMS Conference in Phoenix, AZ (Annual Biomedical Research Conference for Minority Students)
Dartmouth's School of Graduate and Advanced Studies featured a piece on Dartmouth MCB Alums, Sarah Pendergrass, PhD, Shinichiro Fuse, PhD, and Yolanda Nesbeth, PhD, who spoke at the annual Big Data in the Life Sciences Symposium funded by the Burroughs Wellcome Fund held in May. Read More...
Diane Gilbert-Diamond, PhD was recently featured in Dartmouth Medicine. Read More...
Jay Dunlap, PhDis co-PI on a U01 grant from the NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING entitled, "Multiscale modeling of circadian rhythms that seeks to mathematically model to Neurospora circadian system and its output, and to predict instances where metabolic output feeds back to impact the circadian clock."
Rising 2nd year QBS student Jennifer Luyapan was recently awarded a registration and travel scholarship to attend the 2017 Summer Institutes at the University of Washington in Seattle.
James O'Malley, PhD and former post-doc, Jaeun Choi, PhD recently had their paper "Estimating the causal effect of treatment in observational studies with survival time end points and unmeasured confounding" published in The Journal of the Royal Statistics Society; Applied Statistics.
Brock Christensen's, PhD lab recently had their paper "5-Hydroxymethylcytosine localizes to enhancer elements and is associated with survival in glioblastoma patients" published in Nature Communications. Their work was also featured on The NIH Director's Blog and by The Geisel News Center.
Chris Amos, PhD has recently published about the development of an inexpensive genotyping microarray, the OncoArray. Check out these other recent publications in Bioinformatics and Arthritis & Rheumatology with his former QBS student David Qian, PhD.
QBS student Craig MacKenzie and mentor Gevorg Grigoryan,PhD recently published in The Proceedings of the National Academy of Sciences on the "Tertiary alphabet for the observable protein structural universe"
Check out James O'Malley's recent publications "Optimal small-area estimation and design when nonrespondents are subsampled for followup" and "Modeling zero-modified count and semicontinuous data in health services research Part 1: background and overview and Part 2: case studies."
"Effects of low arsenic levels during pregnancy and fetal growth" published by Diane Gilbert-Diamond, PhD along with QBS co-authors Jennifer Emond, PhD and Margaret Karagas, PhD was selected as one of NIEHS' top papers of the year. Check out Diane's other recent publication "Genetic risk for obesity predicts nucleus accumbens size and responsivity to real-world food cues"
Eugene Demidenko, PhD presented his work at the Norris Cotton Cancer Center Grand Rounds based on his recent publication, "The P-value You Can't Buy". Eugene also published this month in "Toxicology and Applied Pharmacology".
Michael Whitfield, PhD, a translational genetics researcher at Dartmouth's Geisel School of Medicine, has earned a second highly competitive award from the Dr. Ralph and Marian Falk Medical Research Trust for his pioneering work on the rare autoimmune disease systemic scleroderma. Read more...
A research team, led by Chao Cheng, Ph.D., Assistant Professor in the Department of Genetics at The Geisel School of Medicine at Dartmouth, used gene expression data from breast cancer patients to computationally infer the presence of different types of immune cells. Read more... Publication