While participating in Pomona College's Remote Alternative Independent Summer Experience, I conducted some much necessary background research under the guidance of Professor Oona Eisenstadt, for my senior thesis: "Cartography and Counter-cartography: Approaches to Map-Making in Israel-Palestine." While analyzing the 1947-1949 Palestine War, the Suez Crisis, the 1967 Arab-Israeli War, and the 1973 Arab-Israeli War, I explored how political, socioeconomic, and ideological changes to the landscape of Ottoman and British Palestine, spurred by Jewish settlement, helped to shape political violence and the processes of nation-building in Israel-Palestine after 1948. Upon completing this research I created a video essay which introduces notions of Zionism and anti-Zionism, how each ideological movement has evolved over the past 140 years, the philosophical implications these movements have had on Judaism, and what shape they may take on in the future.

Returning to Magnetar in the summer of 2020, I had the opportunity to work as member of a small team of students, to create value for the firm. In this role we were tasked with conducting a credit risk evaluation of Delta Airlines, in order to author a recommendation on the short-term probability of Delta defaulting on their debt in the wake of the COVID-19 Pandemic. This task necessitated conducting qualitative analysis through macroeconomic, industry, and firm-specific research, collaborative problem solving, and quantitative analysis. To accomplish this we utilized Bloomberg Terminal, listened in on earnings calls, and designed a multi-input DCF model. We built this model in Microsoft Excel, and used it to make financial projections as well as conduct liquidity analysis, sensitivity testing, and a relative value assessment for financial due diligence. Based on our quantitative and fundamental analysis, we crafted a recommendation for the Fixed Income team's position on Delta credit default swaps which we presented and defended in front of senior management and the rest of the internship class.

Prepared high school students for ACT, SAT, SAT II (Math 2, Biology E/M, Physics, and English), and AP Exams.

During this internship experience I constructed a Markov chain Monte Carlo simulation in MATLAB to predict UEFA Champions League payouts as well as helped senior management develop a financial projection model for pricing SPX options with adjustments for volatility. An associate of the firm had ownership in a soccer team that competed in the UEFA Champions and Europa League tournaments, and wanted to gain insight into return on investment should that team have been successful in these tournaments. To accomplish this, I conducted research on the structure of these tournaments, historical results, and payout structure. Additionally, I learned how to use MATLAB to create Markov chain Monte Carlo simulations. I used the simulation to predict the probabilities of the soccer team receiving a payout from UEFA based on successful tournament performance.To help develop the projection model for SPX options in Microsoft Excel, I spent time researching options theory and strategies as well as learning from senior management who had years of experience working with the asset class.

Bussed tables, served food, helped prep the dining room, maintenance work.