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:
A Data Odyssey: Open Source AI’s Transformation of the Insurance Industry and Getting Started with R and Docker for Reproducibility and Production, O’Reilly OSCON, July 2019.
Data Visualization with R Shiny, ODSC East, April 2019.
NASA Datanauts – How to Get Involved with NASA’s Open Science, OC R Users Group, April 2019.
Data Storytelling: From Insight to Action, Women in Analytics Conference, April 2019.
Career Discovery Series – Data Science Career Panel, UC Irvine Division of Career Pathways, February 2019.
Rotaract Alumni Career Panel, Rotaract of UC Irvine, January 2019.
Data Storytelling and Visualization, Pacific Life, October 2018.
Machine Learning Techniques for Breast Cancer Risk Assessment Models, UROP Symposium, May 2018.
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.