Selected Teaching Modules

• Data Exploration   [quantitative reasoning, network analyses, data science, machine learning]

  Course materials for data- and model-centric quantitative reasoning courses at New York University.

• Linear Algebra - Computational Projects   [math]

  Computational projects (with python and numpy) to complement a first course in linear algebra.

Previous Teaching Experiences

At New York University

• CORE-UA.111: Quantitative Reasoning: From Data to Discovery
• CORE-UA.107: Quantitative Reasoning: Probability, Statistics, and Decision-Making
• CORE-UA.110: Quantitative Reasoning: Great Ideas in Mathematics
• MATH-UA.009: Algebra and Calculus
• MATH-UA.120: Discrete Mathematics
• MATH-UA.121-123: Calculus 1-3
• MATH-UA.140: Linear Algebra
• MATH-UA.211: Math for Economics 1
• MATH-GA.2840-004: Written and Oral Presentation (co-taught with Aleks Donev in Spring 2018)
• MATH-UA.998: Independent Study (Introduction to Linear and Convex Optimization)
• CSCI-UA.520-521: Undergraduate Research

At Cornell University

• ORIE 3310/5310/5311: Optimization 2 (Instructor)
• Cornell University Prison Education Program, Auburn Correctional Facility: Algebra (Instructor)
• ORIE 4580/5580: Simulation Modeling and Analysis (Teaching Assistant)
• ORIE 4350: Introduction to Game Theory (Teaching Assistant)
• ORIE 3300/5300: Optimization 1 (Teaching Assistant)
• ORIE 3310/5310/5311: Optimization 2 (Teaching Assistant)

Other Teaching and Outreach

• Summer Program for Young Scholars, Center for Mathematical Talent, NYU
• GSTEM Summer Program, NYU
• Expanding Your Horizons, Cornell University