Sarah D. Sahni has more than 15 years of experience in research design, quantitative analysis, and project management. She has led efforts to establish and refine processes for conducting systematic reviews of evaluation rigor and findings for multiple projects including the U.S. Department of Education’s Mathematics and Science Partnerships and Investing in Innovation programs. She is a 4.1 certified What Works Clearinghouse (WWC) Group Design and Single Case Design reviewer and has served as an expert technical reviewer of evaluation design, research methods, and findings for the National Science Foundation, Department of Education, and Department of Labor. Dr. Sahni seeks opportunities to apply innovative machine learning and data science methods to increase the efficiency and efficacy of analyses of text data, document review, and literature searches.
Dr. Sahni is a key contributor and task lead on the WWC-Statistics, Website, and Training contract – she is a member of the Statistical, Technical, and Analysis Team, led the Rapid Review of Distance Learning studies, co-author of the Study Review Protocol v4.1, and led a webinar on WWC Protocols. She currently leads AIR’s PROMISE Center’s Systematic Review of Sectoral Strategies and is co-PI on the NSF funded project Identifying and Reducing Gender Bias in STEM: Systematically Synthesizing the Experimental Evidence.
Ph.D. and M.S., Psychology, University of Wisconsin-Madison; B.S., Cognitive Science, Carnegie Mellon University