Researcher & Cultural Strategist via Mixed Methods | NYU Graduate

I'm currently assisting Dr. Milos Bujisic at NYU on a mixed-methods research project examining the social and market implications of autonomous algorithmic purchasing. The study explores how algorithmic decision-making systems may reshape marketing practice and consumer access raising critical questions about bias, inclusion, and brand influence when machines, not people, make purchase decisions.

I supported the research team by conducting literature reviews on algorithmic bias and AI adoption in marketing, cleaning and preparing survey data, and assisting with early-stage quantitative analysis for consumer segmentation and product classification. 

This is an independent research project conducted under the guidance of NYU professor Dr. Milos Bujisic, set to complete by July 2025. The study investigates how Gen Z users perceive their visible interests as authentic expressions of identity, strategic self-presentation, or algorithm-influenced behavior. It combines survey-based quantitative analysis with qualitative interviews to explore how digital platforms shape the expression and interpretation of personal values.

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I’m designing and executing the full research pipeline; from literature synthesis to data preparation, statistical analysis, and qualitative coding. This includes developing interest clusters from open-text survey responses, constructing value alignment metrics, and conducting mixed-methods integration to uncover how Gen Z navigates identity under algorithmic influence.