Invited talks:

• Data Science, from the ground up. New College of Florida. Sarasota, FL. Nov 2017.

• The Future of Online Education at Duke. With White L., Lasch P., Zychowicz M., and Chambers J. Duke University. Durham, NC. Nov 2017.

• A First-Year Undergraduate Data Science Course. Joint Statistical Meetings. Baltimore, MD. August 2017.

• Teaching Data Science to new useRs. useR. Brussels, Belgium. July 2017. (Keynote)

• Teaching Data Science and Statistical Computation to Undergraduates. United States Conference On Teaching Statistics. State College, PA. May 2017. (Pleanary + Breakout session)

• Open Education Resources. United States Conference On Teaching Statistics. State College, PA. May 2017.

• Integrating reproducibility into the undergraduate statistics curriculum. Joint Statistical Meetings. Chicago, IL. August 2016.

• Bayesian baby steps. OPRE, Washington, DC. April 2016.

• Incorporating visualization into statistics education. Duke University. Durham, NC. March 2016.

• Making your research reproducible with Project TIER, R, and GitHub. Duke University. Durham, NC. February 2016.

• Making your research reproducible: Documenting and automating your data analysis in R. UNC L.L. Thurstone Psychometric Laboratory Methods’ Forum. Chapel Hill, NC. January 2016.

• Teaching to, and learning from, the masses. Joint Statistical Meetings. Seattle, WA. August 2015.

• Expanding R exposure through early introduction in the undergraduate curriculum. R Summit. Copenhagen, Denmark. June 2015.

• Bass Connections: Coursera and the Future of MOOCs. Duke Libraries First Wednesday Series. Durham, NC. May 2015.

• Bayesian baby steps, VA CSP Biostatistics Subdomain: April Methodology Call. April 2015.

• Data Expedition: Exploring / Modeling / Predicting / Understanding Paintings in Paris, with van Ginhoven, S. iiD Data Science Series. Durham, NC. May 2015.

• There and back again: Data Analysis and Statistical Inference, CIT LTC. Durham, NC. March 2015.

• Data Expedition: Exploring / Modeling / Predicting / Understanding Paintings in Paris, with van Ginhoven, S. Duke Media Arts + Sciences Rendezvous. Durham, NC. January 2015.

• Teaching data analysis through the lens of reproducibility. Reproducible Science Hackathon: Curriculum & Workflow Development. NESCENT. Durham, NC. December 2014.

• Flipping the classroom. Board of Trustees meeting, Duke University. Durham, NC. December 2014.

• See you / see me: An interactive real-time online course. Duke University CIT Showcase. Durham, NC. October 2014.

• Panel on Teaching from Big Data. eCOTS. May 2014.

• Increasing the Visibility of Women in Statistics. Women In Statistics Conference. Cary, NC. May 2014.

• Statistical Modeling. Duke University, guest lecture in Focus Mathematical Modeling course. Durham, NC. March 2014.

• See you / see me: An interactive real-time online course. Duke University CIT. Durham, NC. October 2013.

• Statisticians work with the hottest models. FOCUS Cluster Dinner Series at Duke University: What If? Explaining the Past/Predicting the Future. Durham, NC. October 2013.

• Classroom Response Systems at Duke, with Murphy, K. CIT Showcase at Duke University. Durham, NC. April 2013.

• Integrating Team-Based Learning Across Disciplines: Ideas and Challenges, with Vidra, R. and Gauthier, D. CIT Showcase at Duke University. Durham, NC. April 2013.

Presentations, workshops, and posters:

• R-Ladies Panel: Improving gender diversity in a male-dominated community. With Bryan J., D’Agostino McGowan L., de Queiroz G., Dogucu M., Scranton K., and Thompson J. WSDS. San Diego, CA. October 2017.

• Data Carpentry: Teaching Reproducible Data Driven Discovery. With Teal T. and Michonneau F. useR 2017. Belgium, Brussels. July 2017.

• Data Carpentry: Open and Reproducible Research with R. With Rundel C. and Michonneau F. useR 2017. Belgium, Brussels. July 2017. (Workshop)

• R-Ladies RTP: Functional programming with purrr. Transloc. RTP, NC. October 2017. (Workshop)

• SSNAP Workshop: (1) Introduction to Data, (2) Statistical Inference, (3) Reproducible Computing. Duke University. Durham, NC. May 2017.

• R-Ladies RTP: R / git / GitHub. Duke University. Durham, NC. Feb 2017. (Workshop)

• R-Ladies RTP: Everything R Markdown. Duke University. Durham, NC. Dec 2016. (Workshop)

• R-Ladies RTP: Data Manipulation. Duke University. Durham, NC. September 2016. (Workshop)

• A first-year undergraduate data science course. useR. Palo Alto, CA. July 2016.

• Technology lowering barriers: get started with R at the snap of a finger, with Nicholas Horton. eCOTS. May 2016.

• Using R, RStudio, and Docker for introductory statistics teaching. useR. Aalborg, Denmark. July 2015.

• Connecting data, analysis, and results using a reproducible framework, with Horton, N. United States Conference On Teaching Statistics. State College, PA. May 2015.

• Raising better scientsts. Duke Tech Expo 2015. Durham, NC. April 2015.

• Interactivity online and on-campus: Data Analysis and Statistical Inference, Coursera Partners Conference. Orange County, CA. March 2015. [poster]

• Data-driven pedagogy, Coursera Partners Conference. Orange County, CA. March 2015.

• DataFest - A Celebration of Data, Analytics Forward Unconference. Durham, NC. March 2015.

• Teaching to the Masses. Joint Statistical Meetings. Boston, MA. August 2014.

• Teaching data analysis in R through the lens of reproducibility, with Bray, A. useR. Los Angeles, CA. June 2014. [poster]

• Planting Seeds of Reproducibility in the Introductory Statistics Course with R Markdown, with Bray, A. eCOTS. May 2014.

• Teaching data analysis in R through the lens of reproducibility. JSM 2013. Montreal, QC. August 2013.

• Transforming Introductory Statistics Education: A Flipped Classroom with Deliberate Practice and Team-Based Learning, with Stangl, D. United States Conference On Teaching Statistics. Raleigh, NC. May 2013.

• Integrating Team-Based Learning Across Disciplines: Ideas and Challenges, with Vidra, R. and Gauthier, D. Lilly Conference on College and University Teaching. Greensboro, NC. February 2013.

• Integrating R into Introductory Statistics, with Bray, A. Joint Statistical Meetings. San Diego, CA. August 2012.

• Integrating R into Introductory Statistics, with Bray, A. useR. Nashville, TN. June 2012.

• Getting involved with OpenIntro. Joint Statistical Meetings. Miami, FL. August 2011.

• Small area estimation approach to estimating the association between traffic-generated air pollution and early childhood respiratory problems. Joint Statistical Meetings. Vancouver, BC. August 2010.