Selected as one of 18 students for the Fall 2026 cohort to report on Capitol Hill

• Supported drafting and production of The Listening Station, an AI-powered weekly newsletter tracking
  political and policy discourse across podcasts, YouTube, Substack, and other forms of alternative media
• Produced weekly briefings synthesizing conversations shaping the Make America Healthy Again movement,
  tailoring coverage of healthcare, vaccines, women’s health, and regenerative agriculture to specific members
• Identified opportunities to streamline media-tracking workflows, including proposing a dashboard to
  consolidate past member briefings and facilitate continuous access to shifts in media intelligence narratives

• Researched and published stories on legal technology and broader legal topics, examining implications for the
  profession through interviews with judges, government lawyers, attorneys, and legal technology experts
• Selected to continue contributing stories following completion of the fellowship

Supported instruction for five data courses; lead office hours and provide coding feedback for 90+ students

• STAT 303-1, 2, 3: Data Science 1, 2, 3 with Python (Fall 2025, Winter 2026, Spring 2026)
• STAT 304-0: Data Structures and Algorithms for Data Science (Winter 2025, Spring 2025)
• STAT 201-0: Introduction to Programming for Data Science (Fall 2024)

• As Polling Editor, led biannual survey (700+ undergraduate respondents) on campus issues, national politics, and student life
• Collaborated with multimedia desks to produce 5 data-driven stories and 70+ Flourish data visualizations
• Used Python to clean, reweight, and analyze survey responses; identified crosstab trends for editorial insights
• Spearheaded outreach strategy increasing participation 50% from web, email, in-person, and social channels
• Previously Assistant Polling Editor, Development and Recruitment Editor, Copy Chief, Copy Editor

• Researched 5+ legal technology partners and built 3 business cases communicating product fit for leadership
• Used Excel, Salesforce, LinkedIn Sales Navigator to identify client overlaps and support partner prioritization
• Restructured internal AI partnership tracker and communication workflows, improving cross-team alignment
• Synthesized cloud vs. on-premises legal architecture findings into concise, stakeholder-friendly reports

Research assistant for two professors at Northwestern's Pritzker School of Law