Lewis Zhu

• Performed as a member of the Aspen Chamber Symphony under Maestros Vasily Petrenko, Dame Jane Glover, Ryan Bancroft, Matthias Pintscher, and Paul-Boris Kertsman in major works including Brahms’s Symphony No. 3, Nielsen’s Symphony No. 4, Schubert’s Symphony No. 9, Ravel’s Piano Concerto in G, Prokofiev’s Symphony No. 1, and Stravinsky’s Symphony in C • Performed in Mozart’s Così fan tutte, conducted by Maestro Patrick Summers and directed by Renée Fleming, and Puccini’s La bohème, conducted by Maestro Enrique Mazzola and directed by Katherine M. Carter • Studied violin with Professor Cornelia Heard, Valere Blair Potter Professor of Violin at Vanderbilt University, and received chamber music coachings from Professor David Halen, concertmaster of the St. Louis Symphony

• Perform econometric analysis on datasets of 20,000+ survey respondents in STATA to study COVID-19 pandemic effects on mental health and productivity with Professors Rachel Kranton and Duncan Thomas • Measure mental health (work/family conflict, CESD scores for depression) and productivity (hours worked, reported effort) variables, incorporating controls for household demographics to ensure robust findings • Develop STATA code to process raw survey data and execute extensive data cleaning by removing erroneous responses and performing intricate merges of varied datasets generated by the survey software to ensure usability • Assist in literature review of related research • Present findings and convey recommendations in weekly meetings with professors

• Plan and lead weekly 25-student discussions of exemplary questions to supplement course material for ECON 201: Intermediate Microeconomics and ECON 204: Econometrics and Data Science • Teach essential STATA skills and problem-solving applications to Econometrics students in 6 TA sessions per semester to enhance comprehension of lecture content • Host office hours open to 200+ students and staff Economics Learning Center, fielding homework questions and assisting with exam preparation • Meeting weekly with professor and other teaching assistants to discuss progress made during discussion sections

• Developed a systematic earnings event-driven trading strategy in Python using scikit-learn, leveraging alternative data sources to execute optimally timed and sized trades • Utilized and extended the mathematical framework of mean-variance optimization to provide dynamic optimal portfolio position weight recommendations tailored to the fund’s specific leverage requirements • Built Grafana dashboards to visualize recommendations, enabling research team to make data-driven decisions

• Developed an algorithm in R based on multivariable fixed effects regressions to determine a portfolio net exposure recommendation, adding quantitative rigor to the fund's market timing. This module consistently and significantly outperforms the S&P 500 on a year-over-year basis • Built a user-friendly interactive dashboard in Microsoft Power BI to effectively present automatically updated algorithm outputs for weekly board meetings, assisting research team in making more informed timing and positioning decisions • Managed and cleaned 30+ datasets of historical stock prices and economic indicators, as well as 2.5M+ rows of data in SQL Server for use in analysis and algorithm development • Presented semiweekly updates via PowerPoint presentations to fund manager and research team

• Compiled data for Professor of Finance Fang Yu related to the prevalence of one-character versus two-character Chinese given names among Chinese power holders • Analyzed data and tested Professor Yu’s hypotheses regarding the relationship between name length and success in business and politics