Winners Revert, Losers Rebound
Rob Brown, Yeabin Moon, and Bo Wang
The Journal of Beta Investment Strategies
Explore data science, economics, and AI through questions we can investigate, ideas we can build, and evidence we can explain.
Start with prompting, evidence checks, and local models. Retrieval, agents, and routing are next.
Explore LearnTwo annual reports. A new detail, a change in emphasis, and a warning that stayed the same. Can you tell them apart—and support your interpretation?
Available now
Prompt practice, two worked Apple examples, and a four-company practice exercise.
Taking shape
Rob Brown, Yeabin Moon, and Bo Wang
The Journal of Beta Investment Strategies
Examining how AI reasoning-effort settings affect cost and accuracy within a model-specific API contract.
I am a Senior Lecturer in Data Analytics at Brandeis School of Business and Economics. My work connects data science, economics, and the practical questions raised by artificial intelligence.
My teaching spans data analytics, Python programming, data visualization, and natural language processing, with a growing focus on AI engineering and its applications in business and management.
I hold a Ph.D. from the University of Houston.
Brandeis faculty profileGet in touch about a course, a research question, or a collaboration.