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 Manipulation with Tidy Tools, OC R Users Group Hackathon, May 2019.
Data Visualization with R Shiny, ODSC East, April 2019.
Panel of Working Data Scientists from Different Learning Backgrounds, Kaggle CareerCon, April 2019.
UCI Math Alumni Industry Panel, UC Irvine Association for Women in Math, April 2019.
Rotaract Alumni Career Panel, Rotaract of UC Irvine, January 2019.
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.