My Teaching
My Teaching Philosophy
My philosophy is built on a simple premise: knowledge becomes transformative when applied. I architect learning experiences that bridge rigorous theory with hands-on, data-driven problem-solving to cultivate not just technical proficiency, but a mindset of persistent inquiry.
Core Methodologies
Financial Frameworks
Building a deep, theoretical understanding of accounting principles and capital market structures.
Empirical Analysis
Applying modern computational tools to test theories and extract insights from complex financial data.
Strategic Insight
Cultivating the ability to translate data-driven findings into actionable, high-level business strategy.
Graduate Courses
DSA 5045: Machine Learning for Finance
A deep dive into applying predictive models to financial data. Students use an industry-standard toolkit to solve real-world problems in credit scoring, fraud detection, and algorithmic trading.
View SyllabusAI will seep into all areas of the economy and society; we will expect everything to be smart.
DSA 5047: Data Analytics for Finance
This course focuses on extracting strategic insights from financial and alternative datasets. Students master data wrangling, modeling, and visualization to drive evidence-based decisions.
View SyllabusA data culture... empowers every individual to do great things because of the data at their fingertips.
Select Undergraduate Courses Taught
| Course Title | Student Evaluation Score |
|---|---|
| Introduction to Business | |
| Financial Accounting | |
| Accounting Information Systems | |
| Managerial Accounting |