Teaching

You can download a draft (work in progress) of my teaching statement here.

Spring 2018


Graduate Student Instructor with Professor Deb Nolan


STAT 198- Blogging for Data Science



Students write 4 posts during the semester related to mathematics, statistics, computer science, and/or data science. Two blog posts can be about anything related to mathematics, statistics, computer science, or data science and are brainstormed using Andrew Gelman’s diary activity Two blog posts are more technical: a vignette style blog post and a data analysis focused blog post.


See the blogs here.

Fall 2017


Graduate Student Instructor with Professor Deb Nolan


STAT 157- Communicating with Data: The art of writing for data science



The old adage, let the data speak for itself, is often poor advice. Without context it can be difficult (even impossible) to glean insights from statistical graphs and tables. In this seminar, students gain experience in how to write about their data insights in a way that is both compelling and faithful to the data. We explore a variety of genres from technical articles to news stories and blog posts.

In the seminar, students explore and analyse data and write about their findings. We also read and review both exemplary published analyses and students’ writing samples. We use modern statistical tools to work in a reproducible environment so that others may follow our decision-making process and recreate our analyses. By the end of the semester, students will have a portfolio of writing samples, including short pieces such as figure captions, Wikipedia entries, blog posts and news stories, and one technical paper.


For a snapshot of what we are doing in class, refer to @sastoudt’s tweet-log for the class:

13th day of Communicating w/ Data w/@DebAtStat: practicing Tweet-sized blurbs, revising blog posts by defining goals and audience, live blogging with @StatModeling

12th day of Communicating w/ Data w/@DebAtStat: contributing to Wikipedia with a case study on https://en.wikipedia.org/wiki/Standard_error …. Stay tuned for our class’s edits.

11th day of Communicating w/ Data w/@DebAtStat: strategies for turning your work into a blog post, peer feedback on portfolio curation, and guest @FurrierTranform discussing his @AAASMassMedia experience

10th day of Communicating w/ Data w/@DebAtStat + guest Christoph Drosser: moving from technical report to news story + writing press release

9th day of Communicating w/ Data w/@DebAtStat: peer review of 3rd draft, coding style guide & best practices, principles of reproducibility

8th day of Communicating w/ Data w/@DebAtStat: 2nd draft peer and instructor review. Edits not only on the writing but the analysis as well.

7th day of Communicating w/ Data w/@DebAtStat: exhibit labels @HearstMuseum, crafting sentences & paragraphs, peer review at sentence level

6th day of Communicating w/ Data w/@DebAtStat: title brainstorming, formal peer review and instructor feedback on first drafts

5th day of Communicating w/ Data w/@DebAtStat: effective visualization strategies, fix bad plots, write captions, work on report drafts

4th day of Communicating w/ Data w/@DebAtStat: journalism talk, sharing 1 minute EDA revelations, response to class feedback, project Q&A

3rd day of Communicating w/ Data w/@DebAtStat: organization, structure & transitions for scientific writing + EDA consulting: find the story

2nd day of Communicating with Data w/@DebAtStat: peer review, what makes a good data analysis, and storyboarding

1st day of Communicating with Data w/@DebAtStat: class overview, ID elements of data analysis in @signmagazine articles, intro to git