NCI Data Jamboree (Project Abstract Submission): Submission #24

Submission information
Submission Number: 24
Submission ID: 188432
Submission UUID: 19fc1600-1a2c-49fc-a832-ef017e7ab9bc

Created: Tue, 07/21/2026 - 01:46
Completed: Tue, 07/21/2026 - 01:46
Changed: Tue, 07/21/2026 - 01:46

Remote IP address: 10.208.24.20
Submitted by: Anonymous
Language: English

Is draft: No
First Name Natalie
Middle Initial M
Last Name Tenge
Degree(s) MPH
Position/Title/Career Status Early-Career Public Health Professional/Researcher
Organization Independent (Recent University of Wisconsin-Milwaukee MPH Graduate)
Organization Address Milwaukee, WI
Email nmtenge01@gmail.com
List of Additional Authors
  • First Name: N/A
    Last Name: N/A
    Affiliation: N/A
Abstract Category Employing statistical, computational, and informatics tools, algorithms, and methods to integrate or analyze data
Abstract Keywords
Abstract Title Project Seeker
Abstract I recently graduated from the University of Wisconsin-Milwaukee with my Master of Public Health (MPH) degree in the Environmental Health Sciences track. I’ve taken several applied epidemiology courses, including environmental and cancer epidemiology, as well as courses that have allowed me to build additional competency in quantitative data analysis and statistical software utilization (SAS), including biostatistics, environmental risk assessment, and my own final capstone project, which has notably been accepted for poster presentation at the 2026 American Public Health Association’s (APHA) Annual Meeting and Expo. This public health education has reinforced both my interest in research and appreciation for the population health perspective that epidemiologists employ to solve public health problems. Thus, I intend to further my education through an epidemiology doctoral program in the future, and I’m eager to continue expanding my public health knowledge and building new skills, especially as they relate to epidemiologic research methods, in the meantime. Participating in this data jamboree will, therefore, provide me with meaningful practical experience working with real-world data while likely also improving my awareness of the various data sources available to be analyzed and used to inform public health decision-making.