Talks
What do you get when you cross a chatterbox and a scientist? A whole lot of talks!
Whether I’m in a classroom, conference, or corporate meeting, I 💖 bringing (bio)stats to the conversation! Here are some of my recent and upcoming talks. Slides are available either by clicking on the links in the entries or the GIF wall!
Coming Soon to Theaters
Invited Talk: Misclassification Challenges in Quantifying the Relationship Between Diabetes and Local Access to Healthy Food
Department of Mathematics, University of Scranton - March 2025Invited Panel: Graduate Admissions Advice
Electronic Undergraduate Student Research Conference
November 2024Invited Talk: For Better or For Worse: The First Kiss
Effect on TV Ratings
International Day of Women in Statistics and Data Science
October 2024Guest Lecture: Stats can be fun, I swear!
PSYCH1130, Cornell University - September 2024
Highlight Reel
Master’s Thesis Defense: Adjusting for Measurement Error to Quantify the Relationship Between Diabetes and Local Access to Healthy Food
Wake Forest University - April 2024
SlidesContributed Talk: Adjusting for Measurement Error to Quantify the Relationship Between Diabetes and Local Access to Healthy Food
ENAR Spring Meeting - March 2024
SlidesContributed Poster: Rate This Interruption: Using Interrupted Time Series Techniques to Analyze Popular Television
Couples and Episode Ratings
Women in Statistics and Data Science - October 2023
PosterContributed Poster: Music Feature Classification: Using Techniques of Machine Learning to Detect Genre
MAA MathFest - August 2022
PosterContributed Poster: Deal or No Deal: Modeling a Game Show with Utility Theory and Machine Learning
Joint Mathematics Meetings - April 2022
PosterContributed Poster: Deal or No Deal: Modeling a Game Show with Utility Theory and Machine Learning
SACNAS NDiSTEM Conference - August 2021
PosterFeatured Talk: Deal or No Deal: Modeling a Game Show with Utility Theory and Machine Learning
Mount Stuart Mathematics Seminar Series - August 2021
SlidesFeatured Talk: A Puck Above the Rest: The Effects of New Data on 2020 NHL Draft Decisions
Carnegie Mellon Sports Analytics Conference - October 2020
Slides