Speaking

Workshops

  • Statistical communication and leadership. I developed the material for and taught the second day of this two-day in-person workshop at the University of Michigan through the ABS Network. This workshop was co-developed by Paula Caproni and Mary Sammel. See the ad for more details.

  • Statistical communication and leadership. With Paula Caproni and Mary Sammel, we adapted our workshop into a short-form, web-based course sponsored by the Quantitative Staff Network (QSN). I virtually led day 2 of this workshop in October 2024; more information available here.

  • Identifying and addressing research misconduct as a collaborative statistician. I developed and led a 90-minute workshop for all collaborative statisticians attending the 2024 ACTStat annual meeting in Portland, Oregon.

  • Collaborator phenotyping. I led focus groups on this topic at the 2022 ACTStat Annual Meeting consisting of two 1.5-hour sessions with 25 participants in Washington, D.C. These findings were later generalized and published here.

Selected Presentations

  • Role Play for Training Effective Statistical Leadership, Communication, and Collaboration. JSM 2024 invited panel. Speakers (in order shown on the right): Heather Smith, Ryan Peterson, Emily Griffith, Julia Sharp, Mario Davidson, Eric Vance.

  • Training the next generation of statistical consultants: Strategies, resources, and best practices. Conference on Statistical Practice (CSP) 2024 invited panel. Speakers: Ryan Peterson, Alex Hanlon, Emily Griffith, Maggie Niu, Joseph Roith, Julia Sharp. New Orleans, LA.

  • Pragmatic Statistical Learning: From Data to Interpretable Insights. Statistical Methods in Pragmatic Research Series. Adult & Child Center for Outcomes Research & Delivery Science (ACCORDS). March 2024, Aurora CO.

  • Strategies for Successfully Scoping and Tracking Collaborative Statistical Work. Topic-contributed Panel at JSM 2023 with Alex Hanlon, Emily Griffith, Ryan Peterson, and Julia Sharp. Toronto, Ontario, Canada.

  • Detecting Interactions in R. National Center for Health Statistics and the Center for Disease Control. May 2023. Virtual.

  • Successful Approaches to Teaching Statistical Consulting. Webinar Panel led by Julia Sharp and sponsored by the ASA Section on Teaching of Statistics in the Health Sciences Webinar. May 2023. Virtual. Watch.

  • Selection tools for handling suspected signal heterogeneity in covariates with applications to interactions and high-dimensional time series. Department of Biostatistics and Data Science, Wake Forest University School of Medicine. March 2023. Virtual.

  • Reaping what you SOW: strategies for writing statistical scopes of work. CSP 2023 invited panel. San Francisco, CA.

  • An Introduction to Biomedical Applications of Big Data, Machine Learning, and Artificial Intelligence. Big Data Seminar Series, Colorado Clinical and Translational Science Institute, University of Colorado. November 2022. Virtual.

  • Aggregating penalized regression coefficients after multiple imputation for urgent and effective prediction of intubation in patients with severe COVID-19. Early Career Award winner presentation at ACTStat 2021 Annual Meeting. Washington, D.C. Virtual.

  • “But what about interactions, are any of those significant?” Resolving the collaborative nightmare of covariate interactions using regularization. International Biometric Conference, 2020. Virtual. (Contributed poster; won Best Poster Award)

  • Predictive Modeling: From Simple to Complex and Transparent to Opaque, A Debate of Two Extremes. Department of Biostatistics & Informatics, Colorado School of Public Health, University of Colorado. November 2019, Aurora CO. (Forced to argue in favor of black-box models!)

 

Last updated: January 2025