Teaching

Courses and learning resources

My teaching covers finance, asset management, machine learning, artificial intelligence, and quantitative methods, with an emphasis on theory, reproducible analysis, and practical implementation.

Courses

Finance and computational methods

  1. 01Investment
  2. 02Futures and Options
  3. 03Investment Management
  4. 04Introduction to Asset Management Practice
  5. 05Artificial Intelligence Applications
  6. 06Machine Learning
  7. 07Topics in Quantitative Finance and Artificial Intelligence

Learning resources

Course materials and interactive resources

Interactive labs, notebooks, and course environments designed to make quantitative ideas testable in the browser.

Public

AI Teaching Lab

A public, hands-on learning hub for artificial intelligence and quantitative finance.

Open resource
Public

Quantitative Finance Interactive Lab

Browser-based experiments in performance measurement, risk, portfolio construction, and backtesting.

Open resource
Sign-in required for enrolled students

Investment Management Applied Learning Lab

Course units, assignments, a final project, and progress tools for enrolled students.

Open resource
Public repository

ML & Quantitative Finance Notebooks

Open notebooks and code examples for computational finance learning.

Open resource