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I am interested in exploring how artificial intelligence can be leveraged in business operations, particularly within emerging markets and the consumer retail sector. I am also examining the role of AI in analyzing mergers and acquisitions as well as how AI-driven trading algorithms may influence market volatility.

On campus, I am involved in Intercol (Penn’s competitive Model UN team), UPMUNC, Wharton Retail, Wealth Management Club, MUSE Generalist Consulting and Corporate Sponsorships, 180 Degrees Consulting, and Undergraduate Women in AI. My passion for finance also extends to my work with WALK Magazine and the Penn Fashion Collective.

Beyond academics and business, I stay active in Jewish life at Penn, serving on committees for both Hillel and Chabad, and am a member of JUBA. Also, as a proud Penn Student, I am part of Penn Traditions as a class rep. 

Academic Major(s): Artificial Intelligence, Finance
Casey Gottlieb

The Business of Borders

How do businesses participate in defining and implementing border security policy in the United States? This research project examines how private businesses define and influence United States national security threats, and specifically, US border policy and enforcement

Climate Decisions Lab

We meet regularly and conduct studies pertaining to climate change, sustainability and related matters. We produce reports from our work products. These reports are posted on the Web and/or submitted for refereed publication. The lab has been operating since 2000. Many students have found it useful for getting started post-Penn, either on the job or for graduate school. All levels of "technical" expertise welcome. Example of work product: Bina, Rachel and Luong, Kha and Mehta, Shrey and Pang, Daphne and Xie, Kristen and Chou, Christine and Kimbrough, Steven O., On Large Language Models as Data Sources for Policy Deliberation on Climate Change and Sustainability (February 02, 2025). The Wharton School Research Paper , Available at SSRN: https://ssrn.com/abstract=5123359 or http://dx.doi.org/10.2139/ssrn.5123359

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