PDSG's Journal Club meets once every two weeks during the school year and summer. Students take turns presenting research papers, blog posts, tutorials, or even book chapters usually via a slide deck or Jupyter notebook. You do NOT need to be an expert or have understood the paper to attend!

Please drop by the #journalclub Slack channel and say hello! We’re always interested in learning more about data science. We’d love to have you at our next meeting; you can check the calendar to find where/when we’re meeting and get a copy of the paper. If you'd like to give a presentation, please contact Vivek via email at viveksrm [at] pennmedicine [dot] upenn [dot] edu or through the PDSG Slack.

Summer and Fall 2021 Journal Club Presentations:

• 3/19/2021 – Vivek Sriram: A review of network analysis terminology and its application to foot-and-mouth disease modelling and policy development (Slides)

• 4/16/2021 – Sammy Klasfeld: Model Reproducibility by a Kaggle Grandmaster (Slides)

• 5/21/2021 – Brian Lee: Introduction to Graphical Neural Networks (No reading; slides only)

• 7/2/2021 – Vivek Sriram: 11 Dimensionality reduction techniques you should know in 2021 (Slides)

• 7/23/2021 – Sammy Klasfeld: Bayesian Detection of Convergent Rate Changes of Conserved Noncoding Elements on Phylogenetic Trees (Slides)

• 8/6/2021 – Sy Hwang: Into the Wild: Machine Learning In Non-Euclidean Spaces

• 8/20/2021 – Brian Lee: Poincaré Embeddings for Learning Hierarchical Representations (Slides)

• 9/3/2021 – Vivek Sriram: Introduction to Time Series Forecasting (Slides)

• 9/17/2021 – Sy Hwang: ByT5: Towards a token-free future with pre-trained byte-to-byte models (Slides)

• 10/01/2021 – Sammy Klasfeld: DeepC: predicting 3D genome folding using megabase-scale transfer learning (Slides)

• 10/15/2021 – Ken Hayashima: Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data