I have taught statistics and statistical computing at Columbia University since 2008. I have also taught at New York University, Yale University and UC Berkeley.

My teaching focus has always been to communicate often misunderstood statistical concepts to the broader audience in a language they can understand. To understand why we make statistical calculations and what they really mean. To gain a solid foundational understanding of statistical inference before building on that foundation.

In 2018, the first edition of my book titled “Statistics and the Media: Foundations in Statistical Thinking through Media Examples” was published with clear and concise explanations of statistical concepts through media and research examples. In 2020, the second edition titled “Statistical Thinking through Media Examples” was published with additional statistical concepts explained including more up-to-date media and research examples. In 2022, the third edition of my book was published with numerous media and research examples from the first year of COVID-19 when statistical information dominated the media.

With every passing year I teach statistical thinking, I see the growing need for the broader audience to learn and understand this way of questioning the world around them. I feel very fortunate to have the experience, knowledge and writing skills to teach you this necessary way of thinking in a world awash with statistical information.