I’ve taught graduate-level analytics at Columbia University since 2018 and developed comprehensive Stan curricula that have reached thousands of students worldwide through Athlyticz.

Columbia University - Applied Analytics Program

Since 2018, I’ve designed and taught courses in:

  • Storytelling with Data and AI - Communicating complex statistical insights through narrative and visualization
  • Research Design - Experimental design, causal inference, and statistical reasoning
  • Machine Learning - Statistical learning methods and applications

I authored Data in Wonderland as the textbook reader for the data storytelling curriculum.

Athlyticz - Bayesian Modeling Courses

I developed two comprehensive Stan courses with over 200 instructional videos that I produce, film, and edit myself:

  • Becoming a Bayesian I - Foundational Bayesian modeling and Stan programming
  • Becoming a Bayesian II - Advanced topics including survival analysis, differential equations, physics-constrained models, and computational optimization

These masterclass-style courses with live coding have taught thousands of practitioners worldwide.

Teaching History

2025 - Columbia: Storytelling with Data and AI (Fall, Spring) | Athlyticz: Becoming a Bayesian I & II (Fall, Summer, Spring)

2024 - Columbia: Research Design (Fall), Storytelling with Data (Spring) | Athlyticz: Becoming a Bayesian I (Fall, Summer)

2023 - Columbia: Research Design (Fall), Storytelling with Data (Spring)

2022 - Columbia: Research Design (Fall), Storytelling with Data (Summer), Storytelling with Data (Spring)

2021 - Columbia: Storytelling with Data (Fall), Research Design (Fall), Storytelling with Data (Spring)

2020 - Columbia: Research Design (Fall), Storytelling with Data (Spring)

2019 - Columbia: Storytelling with Data (Fall, Summer, Spring)

2018 - Columbia: Storytelling with Data (Fall), Machine Learning (Spring)