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Boston University, M.S. 1991
Stanford University, A.B. 1985
Section of Biostatistics & Epidemiology
Dartmouth Medical School
Evergreen Center, Suite 301
46 Centerra Parkway
Lebanon, NH 03766
Phone: (603) 650-3402
Fax: (603) 650-3411
Email: Kristen.Anton@Dartmouth.edu
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Publications
Institutional & Center Affiliations:
Professional Interests: As
Director of BioInformatics, Kristen is involved with
many efforts – local, national and international – concerning
data standards, data sharing and data management for
biomedical research studies. Most recently, Kristen
has been funded to participate in the National Cancer
Institute (NCI) caBIG (Cancer Biomedical Informatics
Grid) Population Sciences Special Interest Group; her
focus on this NCI committee will be to craft informatics
policies regarding scientific data issues (standards,
sharing, modeling, systems & tools) for NCI-funded
Population Sciences research. Kristen and her group
collaborate on more than twenty clinical trials, prevention
studies and research registries in collaboration with
investigators at Dartmouth and at other academic institutions.
These studies include the Early Detection Research
Network (EDRN), an initiative of the National Cancer
Institute designed to bring together dozens of institutions
to help accelerate the translation of biomarker information
into clinical applications, and the Cancer Family Registries
(CFR), an NCI network developed to facilitate interdisciplinary
studies in the genetic epidemiology of cancer. As part
of the EDRN, Kristen’s group has collaborated
with the NASA Jet Propulsion Laboratory scientists
to implement their novel planetary data sharing technology
for the biomarker research network. Kristen and her
colleagues have also recently begun work, in collaboration
with Dr. John Baron at Dartmouth and Dr. Habib Ahsan
at the University of Chicago, as the informatics & data
center on a prevention study with operational center
in Dhaka, Bangladesh.
To facilitate the sponsored biological
and biomedical studies – by making it quicker
and less costly to launch - the BioInformatics group
has invented and
developed reusable, interoperable, scalable computing
tools. These tools store study questionnaire and process
data as meta-data, electronically track bio-specimens,
and programmatically launch web-based interfaces for
study instruments. The systems are designed with internal
audit trails, versioning, access control and authorization,
and other features critical for the integrity and security
of biomedical research data.
Kristen has a personal
interest in computational biology and molecular epidemiology.
Her teaching includes lectures
on database theory and biological databases in the
Bio39/139 Computational Molecular Biology class at
the college. |
