The Trainees Breakfast is led and organized by trainees to teach each other quantitative concepts, tools and methods. A list of past and future topics covered in these meetings can be found under Events.
Reach out if you are a trainee and interested in leading a session, and also reach out if there is a topic you want covered in a meeting! qlscenter@duke.edu
Past Breakfasts
Presentations from these trainee-led lessons can be found under Resources.
- Research Data Management Practices, Helenmary Sheridan, 10/29/2025
- Technical Resources and the DCC, Ed McLaurin, 10/15/2025
- Office Hours, 10/01/2025
- An Introduction to Agent Based Modeling, Hannah Scanlon, 05/21/2025
- Spatial Registration Methods for Near-Serial Section Multi-Omic Experiments, Aditya Pratapa, 05/07/2025
- Introduction to scGPT for Single-Cell Transcriptomic Workflows, Huan Liang, 04/23/2025
- Fiji Plugins for 3D and 3D+T Data, Kira Heikes, 03/26/2025
- Office Hours 3/12/2025
- Intro to Protein Binding Predictions, Ryan Baumert, 2/26/2025
- Intro to Alphafold Protein Modeling, Ryan Baumert, 2/12/2025
- Intro to Machine Learning, Justin Savage, 1/29/2025
- Office Hours 1/15/2025
- Advanced Data Visualization, Justin Savage and Nadia Eliora, 12/4/2024
- Intro to Data Tidying and Visualization, Justin Savage, 11/20/2024
- Office Hours 10/23/2024
- Modeling Biological Waves and Oscillations, Rocky Diegmiller, 10/09/2024
- Modeling Reactive and Diffusive Biological Systems, Rocky Diegmiller, 09/25/2024
- Modeling Biological Systems Through Space and Time, Rocky Diegmiller, 09/11/2024
- Sequencing Analysis, Raven Luo and Seth Weaver, 05/29/2024
- ANOVA and linear modeling in R, Justin Savage, 05/01/2024
- Introduction to Python and Image analysis, Grace McLaughlin and Alex Crocker, 04/17/2024
- Cellpose, Priyom Adhyapok, 04/03/2024
- Introduction to ImageJ Macros, Justin Savage, 03/06/2024
- Introduction to Ilastik, Alvin (Ziqi) Lu, 02/21/2024
