Economics

Angus Lewis

Angus graduated in 2017 from the University of California, Berkeley with a BA in Economics, Applied Math, and History. As an undergrad he worked as a research assistant on two projects. The first investigated financial development in ancient Rome and its implications for modern debates on financial and economic development. The second analyzed the determinants of election results during the Gilded Age. Angus also wrote a senior thesis on the administration of ancient Roman mines in Spain as the Roman state transitioned from contracting out mining rights to private entities to systems of more direct state administration. He maintains an interest in economic history but has become most interested in pursuing macroeconomics research. He is interested in economic growth, international trade, and inequality. He is very familiar with STATA and has working proficiency with MATLAB and Python.

Rachel Williams

Rachel graduated from The Ohio State University in May 2019 with a double major in Economics and World Politics and a minor in Mathematics. Rachel is from Louisville, Kentucky. During her time at Ohio State, she worked as a research assistant on a economic history project and wrote her senior thesis on the spillover effects of states’ Renewable Portfolio policies. In college, she also interned at The Brookings Institution and worked as a field intern on a RCT in India with EPoD at Harvard. She is most comfortable in STATA and is currently learning Python and MATLAB.

Saikun Shi

Saikun graduated from Smith College in 2016 with a double major in Economics and German Studies. In college, she was a research assistant for professors in Economics and Government Studies, and served as a teaching assistant for Econometrics and Economics History of Germany. Before joining Columbia Business School, she worked at an economic consulting firm, where she specialized in quantitative and qualitative analysis of economic issues related to M&A regulatory review, antitrust litigation, and damages.

Finance

Henry Nguyen

Henry graduated with distinction in 2018 from Brandeis University with a Master in Finance. During his time at Brandeis University, he did an independent study about forecasting the stock market movements using different machine learning techniques. He also worked as a teaching assistant for various professors at the Finance department. During the summer of 2018, he spent 3 months working as an intern for a Fintech company in Israel. Currently, Henry is the finance research associate at Columbia Business School on several projects about mutual funds and job markets. Henry is proficient in STATA, Python and is also familiar with R.

Giuditta Perinelli

Giuditta holds a BA degree in Finance from Bocconi University (Milan, Italy) and a double MSc in Economics from Bocconi University and Keio University (Tokyo, Japan), where she was also  Teaching Assistant for the Economics department.  Before joining Columbia Business School, she worked in the wealth management industry in Switzerland and as Research Assistant in the Financial Research division at the European Central Bank (Frankfurt, Germany). Her main research focuses are Financial Markets and Monetary Policy. She is proficient in Stata, but is also familiar with Matlab and Python. 

Management

Imrul Huda

Imrul joined the Management Division after completing his MA in Social Science from the University of Chicago in 2018. He also worked as RA at Booth School of Business and Becker Friedman Institute. Before coming to Chicago, he worked three years as monitoring and evaluation consultant in Bangladesh. He designed and implement two quasi-experimental studies to measure the impact of introducing new technology/business process in traditional agricultural practices. He is most comfortable with Python, R and Stata, but is also familiar with Java and Javascript.

Marketing

Sanjana Rosario

Sanjana graduated from the Master of Science in Business Analytics program offered jointly by Columbia's Graduate School of Business and School of Engineering and Applied Sciences in 2020. While in the MSBA program, she completed coursework involving the application of statistical tools in solving business problems. She is interested in pursuing a career in quantitative marketing research. Prior to joining the Marketing division, she worked at Mu Sigma (India) and Justworks (New York), mainly engaged in analytics consulting and business intelligence respectively. Sanjana is proficient in Python and SQL and has working knowledge of R. She holds an undergraduate degree in electronics and communication engineering.