Tina Diao, PhD

Tina Diao, PhD

Research Data Scientist, AI Labs@BlackRock

Teaching

Introduction to Operations Management (PI)

Graduate course, Stanford University, Department of Management Science & Engineering, 2020

Operations management focuses on the effective planning, scheduling, and control of manufacturing and service entities. Achieving operations excellence is essential to improving efficiency and effectiveness. This course introduces students to a broad range of key issues in the operations function of a firm. Topics include production planning, optimal timing and sizing of capacity expansion, inventory control, supply chain management, revenue management as well as modern operations tools that involve game theoretic considerations and machine learning.

Probability Courses (TA)

Undergraduate and graduate courses, Stanford University, Department of Management Science & Engineering, 2018

Concepts and tools for the analysis of problems under uncertainty, focusing on structuring, model building, and analysis. Examples from legal, social, medical, and physical problems. Topics include axioms of probability, probability trees, random variables, distributions, conditioning, expectation, change of variables, and limit theorems.

Decision Analysis Courses (TA)

Undergraduate and graduate courses, Stanford University, Department of Management Science & Engineering, 2016

Coherent approach to decision making, using the metaphor of developing a structured conversation having desirable properties, and producing actional thought that leads to clarity of action. Socratic instruction; computational problem sessions. Emphasis is on creation of distinctions, representation of uncertainty by probability, development of alternatives, specification of preference, and the role of these elements in creating a normative approach to decisions. Information gathering opportunities in terms of a value measure. Relevance and decision diagrams to represent inference and decision. Principles are applied to decisions in business, technology, law, and medicine.