I enjoy speaking to a variety of audiences about open source, data science, machine learning, data visualization, and programming in R.

Here’s a list of selected past and upcoming presentations:

Panel of Working Data Scientists from Different Learning Backgrounds, Kaggle CareerCon, April 2019. [Video]

UCI Math Alumni Industry Panel, UC Irvine Association for Women in Math, April 2019.

Happy Shiny New Year – Introduction to R Shiny, R-Ladies Irvine, January 2019. [Materials]

Rotaract Alumni Career Panel, Rotaract of UC Irvine, January 2019.

Telling Meaningful Stories with Data, OC R Users Group, November 2018. [Slides]

Digital Analytics and Insights, UC Irvine M.S. Business Analytics Guest Lecture, November 2018. [Slides]

R Markdown and Data Visualization with ggplot2, R-Ladies Irvine, November 2018. [Materials]

Telling Meaningful Stories with Data, Big Data Day LA, August 2018. [Slides][Video]

You Can Be a Scientist Too! Citizen and Data Science at NASA, Girl Scout Council of Orange County, July 2018. [Slides]

Data Visualization with R Shiny, O’Reilly OSCON, July 2018. [Materials]

Machine Learning Techniques for Breast Cancer Risk Assessment Models, UROP Symposium, May 2018.

NASA Data Science for Space Research and Exploration, Anteater Mathematics Club, May 2018. [Slides]

Statistical Modelling of Breast Cancer Risk for Greater Predictive Accuracy, SIAM Conference on Uncertainty Quantification, April 2018.

Probabilistic Models, Machine Learning, and the Future of Breast Cancer Risk Assessment, Joint Mathematics Meetings, January 2018.

Breast Cancer Risk Assessment in a Multiethnic Patient Population, San Antonio Breast Cancer Symposium, December 2017.

Comparison of Breast Cancer Risk Assessment Models for a Multiethnic Patient Population, Women in Statistics and Data Science Conference, October 2017.

Comparison of Breast Cancer Risk Assessment Models for a Multiethnic Patient Population, UROP Symposium, May 2017.

If you would like to invite me to speak, please get in touch.