Film · Research

hAiRCHITECTURE

2024 – 2025

Princeton Research Film Studio

A research film examining the architecture of Black hair as identity, resistance, and cultural language — co-directed and brought from concept to international exhibition.

The 2025 Biennale's theme was architecture — and we argued that hair itself is a form of architecture: built, structured, and inherited, spanning different eras and different cultures. The film highlights Asian, African, and European hairstyles that have held culture and meaning over time, drawing on archival materials, original interviews, and visual research methods.

  • Directed end-to-end production managing a 10-member cross-functional team
  • Coordinated resources, timelines, and stakeholder expectations through pre-production and international exhibition
  • Exhibited at the 2025 Venice Art Biennale and Mallorca Art Biennale
  • Supported by a Princeton Research Film Studio travel grant (UCHV)
Research · Psychology

Cognitive Dissonance & Motivation Loss

2024 – Present

COOPER Lab, Princeton University

Junior Paper under Professor Cooper, exploring how identity-behavior conflict leads to motivational disengagement — and what conditions make people double down versus disengage entirely.

Spanning roughly 65 pages, the paper draws on Festinger's original dissonance theory, Oyserman's identity-based motivation framework, and Covington's self-worth theory to build an integrative account of motivation loss in high-stakes contexts. It serves as a prelude to my senior thesis, which will deploy an intervention study to determine whether dissonance-driven motivation loss can be controlled for in the modern context.

  • ~65-page integrative review and theoretical framework
  • Grounded in the Self-Standards Model (Stone & Cooper)
  • Engages empirical literature on academic disengagement, identity conflict, and self-protective cognition
  • Foundation for a senior thesis intervention study on controlling motivation loss
Research · Statistics

Replication Study: Reductive Allure Effect

2024

PSY300, Princeton University

A preregistered replication of Hopkins et al. (2016) examining whether reductive language increases the perceived quality of scientific explanations — even when that language adds no real information.

The study recruited 50 participants via Prolific and used R with mixed-effects modeling, bootstrapped confidence intervals, and simple-effects analyses. Our replication did not reproduce the original main effect — a finding that itself contributes to a growing literature questioning the boundary conditions of the "seductive allure" phenomenon.

  • Preregistered on the Open Science Framework (OSF)
  • Mixed-effects modeling in R (lme4) accounting for participant and item variability
  • Full APA-style report comparing replication and original results
Legal · Immigration

Project Rousseau

June – July 2025

New York, NY

Project Rousseau is a nonprofit dedicated to helping young people in communities with the greatest need reach their full potential — combining mentorship and college access with pro bono legal support, including asylum and immigration casework for families navigating the system.

As a legal intern, I built skills that sit at the heart of legal practice: conducting client interviews across languages, translating lived experience into court-ready affidavits, researching statutes and case law under deadline, and holding an active caseload to rigorous organizational standards.

  • Client interviewing & multilingual communication — conducted interviews in French and Spanish (with interpreter) across 9+ active cases
  • Legal writing — drafted affidavits and synthesized findings into structured memoranda for attorneys
  • Legal research — immigration statutes, case law, and evidentiary filings
  • Case management — tracked court filing deadlines for timely, court-ready submissions across French, Spanish, and Pashto documentation
AI · Law & Ethics

Sentient Labs — Campus AI Initiative

October 2025 – Present

New York, NY

Campus AI Lead at a Series A company building a platform that coordinates 100+ AI models, with 3M+ users on the waitlist. The role sits at the intersection of product, community, and policy.

At Princeton, the work means organizing AI hackathons across student organizations and synthesizing student perspectives on emerging technology directly into product development — with a consistent focus on the legal, ethical, and governance dimensions of AI.

  • Synthesize student feedback to directly inform product decisions at a high-growth AI company
  • Organize and lead AI hackathons across Princeton student organizations
  • Build cross-community networks around AI law, ethics, and policy
  • Bridge student experience and institutional product strategy
Strategy · Community

PCC Annual Conference Series

2023 – Present

Princeton Caribbean Connection

As Marketing & Outreach Lead for Princeton Caribbean Connection, spearheaded the communications and outreach strategy behind three consecutive annual conferences — building PCC into a recognized voice on Caribbean policy and public life.

The conferences drew 150+ attendees across Ivy+ institutions, government offices, and corporate sectors, requiring coordinated outreach strategy, cross-sector stakeholder engagement, and consistent brand voice across all channels.

  • Led marketing strategy for 3 consecutive annual conferences
  • 150+ attendees per conference across Ivy+, government, and corporate sectors
  • Coordinated monthly collaborations with campus cultural organizations
  • Established PCC as a recognized cross-sector voice on Caribbean policy
Writing · Media

Princeton Athletics Digital Media

September 2025 – Present

Princeton Varsity Athletics

Digital Media Coordinator for Princeton Varsity Athletics — managing live reporting, content strategy, and storytelling across Division I events and platforms, covering teams including hockey, swimming, rugby, and more.

The role demands real-time decision-making under pressure, a consistent editorial voice, and the ability to translate fast-moving athletic events into compelling digital content for broad audiences.

  • Live reporting during high-pressure Division I events with speed and accuracy
  • Game-day coverage across multiple varsity programs — hockey, swimming, rugby, and beyond
  • Partnered with communications and operations teams to streamline content workflows
  • Broadened audience reach through strategic content distribution
Research · Data

Behavioral Modeling, COMAN Lab

July 2025 – March 2026

COMAN Lab, Princeton University

Research Analyst under Professor Alin Coman at Princeton University, building predictive behavioral models to identify statistically significant drivers of consumer decision-making — translating complex quantitative findings into actionable insights for interdisciplinary research teams. The position concluded in March 2026.

The work combined statistical modeling in R with data visualization and dashboard design, supporting iterative experimental design and ongoing study development.

  • Built predictive models in R identifying drivers of consumer decision-making
  • Designed data visualizations and dashboards in R (ggplot2) and Advanced Excel
  • Cleaned and coded behavioral datasets; presented findings to senior researchers
  • Contributed to iterative experimental design and ongoing study development