About
Computational methods/causal inference to understand and solve human problems. I research social/psychological constructs on digital platforms and how to measurement these constructs behaviorally.
Quasi/experimental design, causal inference in experimental and observational settings, NLP & network analysis.
Contact
Work Experience
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Understand, quantify, measure, and experimentally move perceptions of trust
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Lead measurement/metric development of social-psychological constructs via surveys and behavioral signals to provide insights to cross functional product teams
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Develop and refine measurement framework
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A/B testing, simulation experiments, quasi-experiments
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Log analysis and extraction of behavioral signals
My primary research focuses on understanding and quantifying the impact of exposure to harmful content. Primary tools: R, Python, Presto SQL. Primary methods: Quasi/experimental design, surveys, NLP, network analysis, and machine learning.
Co-developed and co-taught introduction to R course for Master of Analytics students
New York City Teaching Fellow, 2006-2008. Taught primary grades in high-needs schools.
Education
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Methodological training: Quasi/experimental design, mixed methods research, NLP and network analysis
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Substantive training: Organizational sociology, policy analysis, human development
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Pragmatism, phenomenology, philosophy of language, philosophy of mind
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Structure of normativity