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Biometry

Contributes to the rigor and reproducibility of cancer research through statistical consultation and mathematical modeling. Supports research in biostatistical methods and data analytics, machine learning, and artificial intelligence for cancer risk prediction and reduction.

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Resources

Staff List

Photo Name, Email, Phone Room Group(s)/Office
Berger, Vance, Ph.D.
vance.berger@nih.gov
240-276-7142
5E628 Statistician | Biometry
Bowles, Heather, Ph.D.
heather.bowles@nih.gov
240-276-6794
5E640 Program Officer | Biometry
Cancer Prevention Fellowship Program
Dodd, Kevin, Ph.D.
kevin_dodd@nih.gov
240-276-7021
5E126 Deputy Chief | Biometry
Hu, Ping, Sc.D.
ping.hu@nih.gov
240-276-7015
5E118 Statistician | Biometry
Morris, Lawrence
lawrence.morris@nih.gov
240-276-7137
5E112 Program Specialist | Biometry
Prorok, Philip C, Ph.D. [C]
philip.prorok@nih.gov
240-276-7131
Contractor | Office of the Director
Biometry
Sirota, Lev, Ph.D. [C]
lev.sirota@nih.gov
240-276-5127
5E114 Contractor | Biometry
Uzzell, Norwood
norwood.uzzell@nih.gov
240-276-7141
5E222 Program Support Assistant | Biometry
Xu, Jian-Lun, Ph.D.
jian-lun.xu@nih.gov
240-276-7023
5E128 Statistician | Biometry

Grants

PI Name Sort descending PI Organization Title Grant Number Program Official
Gill, Brian John Andrew

Columbia University Health Sciences
United States

The Impact of Local and Reversible Change to GABAergic Inhibitory Signaling on Tumor-Induced Cortical Dysfunction in Glioma 1R01NS140658-01A1 Brandy Heckman-Stoddard, Ph.D., M.P.H.
Godwin, Andrew K.

University Of Kansas Medical Center
United States

Extracellular Vesicle Proteomic Fingerprinting of Ovarian Cancer for Early Detection with a Nanoengineered Microsystem 5R01CA260132-05 Matthew Young, Ph.D.
Goel, Ajay

Beckman Research Institute/City Of Hope
United States

Exosome-based microRNA biomarkers for Non-invasive and Early Detection of Pancreatic Cancer 3U01CA214254-08S2 Matthew Young, Ph.D.
Goel, Ajay

Beckman Research Institute/City Of Hope
United States

5mC and 5hmC DNA alterations as sensitive and specific biomarkers for the non-invasive early detection of pancreatic ductal adenocarcinoma 1U01CA296639-01A1 Claire Zhu, Ph.D.
Goel, Ajay

Beckman Research Institute/City Of Hope
United States

Exosomal biomarkers for the early detection of hepatocellular carcinoma 5R01CA271443-03 Matthew Young, Ph.D.
Goggins, Michael G.

Johns Hopkins University
United States

Using markers to improve pancreatic cancer screening and surveillance: a multi-center study 5U01CA210170-09 Matthew Young, Ph.D.
Goncalves, Marcus Dasilva

New York University School Of Medicine
United States

Molecular Mechanisms of Fructose-induced Colorectal Cancer Cell Survival 5R01CA258697-05 Amit Kumar, Ph.D.
Gonzalez, Brian D

H. Lee Moffitt Cancer Ctr & Res Inst
United States

Impact of Targeted Therapy on Cancer-Related Cognitive Impairment 5R01CA287666-02 Brandy Heckman-Stoddard, Ph.D., M.P.H.
Goode, Diana J

University Of New England
United States

Novel expression of MHC class II on DRG neurons and its role in promoting antinociceptive CD4+ T cells in females during chemotherapy-induced peripheral neuropathy 5R01CA267554-04 Rachel Altshuler, Ph.D.
Grady, William Mallory

Fred Hutchinson Cancer Center
United States

Understanding adenoma progression: Interplay among tissue microenvironment, clonal architecture, and gut microbiome 3U54CA274374-04S2 Christos Patriotis, Ph.D., M.Sc.
Grady, William Mallory

Fred Hutchinson Cancer Center
United States

Biomarkers for optimizing risk prediction and early detection of cancers of the colon and esophagus 5U2CCA271902-04 Matthew Young, Ph.D.
Greene, Nicholas Perry

University Of Arkansas At Fayetteville
United States

DEVELOPMENT OF TARGETED APPROACHES IN PREVENTION OF CANCER-CACHEXIA 5R01AR075794-05 Brandy Heckman-Stoddard, Ph.D., M.P.H.
Grimm, Lars J

Duke University
United States

Dynamic imaging and tissue biomarker models to delineate indolent from aggressive breast calcifications 4R01CA271237-04 Guillermo Marquez, Ph.D.
Grogan, Eric L

Vanderbilt University Medical Center
United States

Clinical Utility of Biomarkers Driven Management of Indeterminate Pulmonary Nodules 5R01CA252964-05 Claire Zhu, Ph.D.
Groninger, J. Hunter

Medstar Health Research Institute
United States

Cognitive behavioral theory-assisted virtual reality for chronic cancer pain (VR-CAN): device prototype development and feasibility testing 1R21CA299799-01 Brennan Streck, Ph.D., RN, M.P.H.