Work

Marketing to Machines: Understanding the Social Impact of Algorithmic Purchasing

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. 

Algorithmically-Mediated Selfhood: Exploring Interest-Based Identity Among Gen Z

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.