Assist Professor Ge’s research on idiosyncratic investor shocks’ impact on borrowing firms through the CLO market.Researched and reported on interest rate changes’ impact on insurance companies by reviewing market reports and financial data.Identified ~5K unique borrowing firms by fuzzy matching datasets of ~500K businesses, facilitating the analysis of firms’ financing decisions and real outcomes from increased capital in the CLO market.

Taught classes on programming languages and A.I.Created curricula for courses, including Machine Learning (Python) and Data Structures & Algorithms (Java)

Started AiGoLearning, a student-led nonprofit teaching kids coding, reaching 3000+ students nationwide. Directed the student-teacher training program and prepared 600+ students for teaching roles. Oversaw 100+ weekly classes for students aged 5-15. Organized and hosted 3+ annual Hackathons.

Assisted Professor Sedoc’s research in evaluating LLMs’ ability to perform higher-order reasoning tasks.Coded an iterative knowledge discovery process for a LLM to extract common themes from ~10K copyright comments.Evaluated and measured the model’s ability to retain and evolve knowledge by analyzing the model’s generated outputs.

Spring 2024: Corporate Finance with Prof. Ge

Generated cash flow forecast for financial planning through cash flow and P&L analysis. Streamlined finance operations by developing user-friendly workflows for bank reconciliation and invoice processing.Used Excel to analyze compensation data within the market and the startup, ensuring appropriate salary for growth. Collaborated with the Product team, and used Python to streamline legal matter porting, cutting manual porting time.

Research Topic: Trusting ChatGPT: What Makes Humans Trust Conversation Agents (in Finance and beyond) with Prof. Sunarajan and Prof. Sedoc.

Worked closely with the development team to build and implement a learning management system (LMS) for schools. Integrated machine learning modules into the LMS, allowing students to train and use machine learning models in projects.