Curriculum Vitae

Education

Stanford University

Ph.D. in Finance 2025

Recipient of multiple fellowships, including the Dixon and Carol Doll Graduate Fellowship

Columbia University

B.A. in Financial Economics 2017

Dean's Honor List (all semesters), GPA: 3.9/4.0, Core GPA: 4.0/4.0

Recipient of the merit-based John Jay Scholarship

Stanford University 2019 – 2025

Doctoral Researcher – Stanford Graduate School of Business

Applied causal inference (DiD, TSLS) to model municipal bond demand from 16 years of daily transactions and assess tax policy.
Built a unique dataset of 7,085 compliance cases across 45 jurisdictions and 176 regulatory agencies to assess the impacts of global compliance regulation on bank lending.
Constructed web scraping pipelines to collect 4,409 Mandarin-language compliance cases from Chinese regulatory websites, expanding the sample size by 62% and increasing data accuracy.
Implemented mathematical models (numerical optimization and nonlinear gradient descent) to solve theoretical search models.
Developed predictive structural models to evaluate the economic impact of financial regulation and optimize tax policy decisions.

International Monetary Fund 2017 – 2019

Research Assistant – Macro-Financial Division, Research Department

Used machine learning (boosting, LASSO) to predict economic growth based on bond lending standards across 16 countries since 1995.
Built a novel database on bank-level outstanding bailout investments in 1,114 banks across 37 countries since 2008.
Coordinated with the European Central Bank and the U.S. Department of Treasury to match collected data with official data.
Monitored and updated the I.M.F. Early Warning Exercise on real estate market vulnerabilities across 51 countries.
Conducted rigorous econometric analyses on corporate bond issuance, credit boom misallocations, monetary policy, and knowledge spillovers; the latter was featured in the I.M.F. World Economic Outlook, Chapter 4, April 2018.

Columbia University 2017 – 2018

Research Assistant – Professor Charles Calomiris and Nobel Laureate Edmund Phelps

AIG, New York City 2016

Summer Analyst – Chief Technology Office

Data Science Machine learning, causal inference, AWS, web scraping.

Programming Python, R, MATLAB, SQL, SAS, STATA.

Languages English, French, Arabic, German (elementary), Italian (elementary), Chinese (elementary).

Teaching Assistant – Stanford Graduate School of Business:

Debt Markets (M.B.A., faculty: Darrell Duffie), course rating: 4.6/5.
Money and Banking (M.B.A., faculty: Arvind Krishnamurthy), course rating: 4.1/5.

Empirical Corporate Finance (Ph.D., faculty: Juliane Begenau), course rating: 4.9/5.

Nationality U.S. permanent resident; Lebanese national.

Interests Reading, hiking, cycling, jogging, strength training, and photography.

Service Stanford International Policy Review (managing editor), I.M.F. Financial Literacy Program (lead), Columbia HeForShe chapter (founder).