Laura Koehly
| Laura Koehly Ph.D. | |
|---|---|
 File:Laura Koehly.png | |
| Born | 1966 |
| 🏫 Education | University of Illinois, Urbana-Champaign (Ph.D. 1996), University of Illinois, Urbana-Champaign (M.S. 1995), University of Illinois, Urbana-Champaign (A.M. 1994), University of California, Davis (B.A. 1989) |
| 💼 Occupation | |
| Known for | social network analysis, communal coping, family health history |
| 🌐 Website | www |
| Twitter= | |
Laura M. Koehly is an American statistical psychologist and social network analyst. She is Senior Investigator and the Branch Chief of the Social and Behavioral Research Branch and the Head of the Social Network Methods Section in the Intramural Research Program at the National Human Genome Research Institute of the National Institutes of Health in Bethesda, MD. Dr. Koehly is the current, and first female, President of the International Network for Social Network Analysis.
Career[edit]
Koehly received her Bachelor in Science in psychology with a minor in statistics from University of California, Davis, followed by a Master’s of Arts, Master’s of Science, and Doctorate in quantitative psychology and statistics from the University of Illinois at Urbana-Champaign.[1][2] Although Koehly initially set her sights on becoming a clinical psychologist, her undergraduate coursework illuminated a personal interest in the modeling of complex phenomena done through statistical methods.[3]
Following her graduate study, Koehly went on to work at the UT MD Anderson Cancer Center in Houston, Texas as a research associate. Here, she lent her expertise in social network methods to a study examining the psychosocial impact of genetic testing for Lynch Syndrome-associated cancer. This group was the first to use social network methods to map the pathways through which health information flowed through families with the Lynch syndrome mutation.[4]
In 2005, Koehly was recruited to the newly-established Social and Behavioral Research Branch (SBRB) of the National Human Genome Research Institute by the branch’s founding chief, Colleen McBride, PhD where she established the Social Network Methods Section. The research goals of this lab include: 1) to develop methods that measure and model the complexities of relational systems, 2) to use such models to understand the social, psychological and communicative context of families at risk of hereditary and complex diseases, and 3) to translate these findings into effective network-based interventions.[5]
In 2017, Koehly was named the Chief of the Social and Behavioral Research Branch of NHGRI, becoming the second chief of SBRB since its establishment in 2003.[3][6]
Koehly was elected as president of the International Network for Social Network Analysis (INSNA) in 2019;[7] she is the first woman to serve the organization in this capacity.
Contributions to communal coping theory and social network analysis[edit]
Throughout her career, Koehly has developed expertise in interpersonal processes that underpin communal coping within families, particularly those affected by heritable conditions. These interpersonal processes include communication about a common stressor, shared appraisals of the stressor, and cooperative strategies aimed at reducing the negative impact of the stressor. Her work addresses questions related to communal coping in the context of health promotion and caregiving. She takes a social network perspective in this work, focusing on both the social structural and interpersonal processes underlying communal coping.[8]
Koehly’s contributions to the development of social network analysis include both theoretical and methodological innovations. Her dissertative research introduced new approaches for estimating exponential random graph models for multiple-informants and multi-layer networks, areas in which she continues to innovate.[9][10][11] Also, her work on strategies for observing unbounded, family-based, networks using multiple-informant sampling methods in family network research.[12]
Contributions to social and behavioral research on human genetics and genomics[edit]
As an investigator at the National Human Genome Research Institute, Koehly has made contributions to the social and behavioral aspects of genomics and health disparities. In addition to her early work on social network assessments of genetic testing uptake among families affected by Lynch Syndrome[4], she has studied communal coping, health communication, and other interpersonal processes in a wide range of family health contexts. These family health contexts have included complex diseases, such as heart diseases, type-2 diabetes, and Alzheimer's disease as well as singe-gene mutation diseases such as Sickle Cell Disease and inborn-errors of metabolism. Her contributions to health disparities research include multiple studies on families from diverse and under-represented populations including Mexican-origin and African American families.[13][14]
References[edit]
- ↑ "Mathematics Genealogy Project".
- ↑ {Cite pdf|url=https://womeninscience.nih.gov/about/pdfs/NIH-WomenInScience07-08.pdf – page 66|title=NIH Women in Science|website=nih.gov}}
- ↑ 3.0 3.1 "Dr. Laura Koehly to lead the Social and Behavioral Research Branch at NHGRI". Genome.gov.
- ↑ 4.0 4.1 Koehly, L. M., Peterson, S. K., Watts, B. G., Kempf, K. K., Vernon, S. W., & Gritz, E. R. (2003). A social network analysis of communication about hereditary nonpolyposis colorectal cancer genetic testing and family functioning. Cancer Epidemiology, Biomarkers & Prevention, 12(4), 304-313.
- ↑ "Laura M. Koehly, Ph.D." Genome.gov.
- ↑ "NHGRI History and Timeline of Events". Genome.gov.
- ↑ "INSNA Board". insn.org.
- ↑ Koehly, L. M. (2017). It’s interpersonal: Family relationships, genetic risk, and caregiving. The Gerontologist, 57(1), 32-39.
- ↑ Koehly, L. M., & Pattison, P. (2005). Multiple Relations or Multiple Raters'. Models and methods in social network analysis, 28.
- ↑ Koehly, L. M., & Marcum, C. S. (2018). Multi-relational measurement for latent construct networks. Psychological methods, 23(1), 42.
- ↑ Slaughter, A. J., & Koehly, L. M. (2016). Multilevel models for social networks: hierarchical Bayesian approaches to exponential random graph modeling. Social networks, 44, 334-345.
- ↑ Koehly, L. M., Ashida, S., Schafer, E. J., & Ludden, A. (2015). Caregiving networks—Using a network approach to identify missed opportunities. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 70(1), 143-154.
- ↑ Lin, Jielu; Marcum, Christopher; Myers, Melanie; Koehly, Laura (2018). "Racial differences in family health history knowledge: Exploring the role of interpersonal mechanisms". Translational Behavioral Medicine. 8 (4): 540-549.
- ↑ Lin, Jielu; Marcum, Christopher; Wilkinson, Anna; Koehly, Laura (2018). "Developing shared appraisals of diabetes risk through family health history feedback: the case of Mexican-heritage families". Annals of Behavioral Medicine. 52 (3): 262-271. doi:10.1093/abm/kax027.
External links[edit]
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