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Elizabeth Eisenhauer
Lead Statistical Associate
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Safeguarding Data Privacy: Innovations at Westat
October 14, 2025
Protecting the privacy of people who respond to surveys and censuses is a critical responsibility in federal data collection. During the 2010 Decennial Census, the…
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Novel Strategies Transform Clinical Trials Into Future Opportunities
October 1, 2025
For the rigorous evaluation of novel medicines, clinical trials are essential to ensure safety and efficacy. However, clinical trials are experiencing turbulent times due to…
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Korkmaz Coauthors Paper Recognized with Test of Time Award, 2025 ACM SIGKDD
August 21, 2025
Gizem Korkmaz, PhD, Vice President of Data Science and AI at Westat, is a coauthor of a paper that received the 2025 Test of Time…
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Westat Harnesses the Power of Data With WesLytics™
August 12, 2025
Westat has launched WesLytics, the integrated data solution that combines the company’s staff expertise with the industry-leading Databricks AI and cloud management data intelligence platform.…
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Westat @ JSM 2025: Enriching Society with Statistics
July 24, 2025
Westat staff will be participating in the 2025 Joint Statistical Meetings (JSM), the largest annual gathering of statisticians and data scientists in North America. Held…
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What Impact Is AI Having in Government Research?
July 9, 2025
With the increased use of artificial intelligence (AI) in government research, questions regarding its impact on public policy and its ability to address today’s pressing…
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Westat Experts Present at AAPOR 2025
May 6, 2025
Westat’s public opinion and survey methodology experts are heading to the 80th Annual American Association for Public Opinion Research (AAPOR) Conference, in St. Louis, MO,…
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Korkmaz to Discuss Transformative Potential of Open-Source Software
May 5, 2025
Gizem Korkmaz, PhD, Westat Vice President, Data Science and AI, will present at the 10th Biennial Atlanta Conference on Science and Innovation Policy, hosted by…
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Can natural language processing improve the completeness of immunization data?
Harnessing natural language processing to enhance immunization information
