Talks & Speaking
Here are a few examples of presentations I’ve given. I’m always eager to speak with others about the ways AI, statistics, and effective data communication intersect and how they can better support our day-to-day lives and our work processes. If you have an event or conference in mind, please get in touch.
The Monday Morning Agent
An eight-episode O’Reilly live series I host, every other Monday starting October 2026. Each episode uses real NFL play-by-play data to settle an enduring football debate while gradually building an AI data analyst that can do that work on its own.
Never Miss a Game: Build a Sports Concierge Agent in 25 Minutes
A live 30-minute demo and Q&A in O’Reilly’s Zero to Agent in 30 Minutes series (September 16, 2026). What are agents good for when they aren’t writing code? I build a sports concierge agent that reads the schedules for every sport I follow, picks the events worth my time, and sends one message to my phone each week, then hand over the repeatable pattern: prompt file, tool permissions, schedule, and notification.
Data Science in the Age of AI: AI is the Engine, You are the Engineer
How generative AI supports faster, clearer, and more responsible data science work while strengthening foundational skills and human insight.
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Vignette-Driven Development: The Power of Unit Testing
How starting with a narrative, shaping APIs around real workflows, and using tests as guardrails leads to clearer, more intentional tools strengthened by AI-supported variation.
Tidyverse Tools in R for Data Science and Statistical Inference (with Dr. Jessica Minnier)
A tidyverse-driven introduction to crafting clean, reproducible data workflows and modern inference in R.
Building Data Fluency Through Analogies
Using real-world and movie examples to make data science approachable.
Statistical Inference: A Tidy Approach
A modern, tidyverse-based take on inference in R.
Teaching Introductory Statistics Using the Tidyverse via bookdown
A bookdown-enhanced framework for teaching introductory statistics and data science in R.
Creating the fivethirtyeight R package
Behind-the-scenes of developing an R data package for reproducible journalism.
Something old, something new, something borrowed, something blue: Ways to teach data science (and learn it too!)
A gentle approach to launching students into data science with new tools, familiar stories, and tidy principles.