IMO Methods & Tools Lecture Series
The purpose of this series is to offer additional training in common methods used in IMO. Topics will be chosen based on student feedback, and we aim to build a resource & library of lecture materials, examples, and code to be used year-on-year.
Summary: A review of the construction of scientific figures and illustrations, including topics like data encoding using size, shape, color. We review the physical limits of human perception, the history of illustration methods, and make recommendations on best practices. Presented by Jeffrey West.
Summary: An overview of lineage tracing, with a tutorial of Hybrid Automata Library (HAL) and its integration with EvoFreq, a tool for visualizing lineage information. Presented by Chandler Gatenbee & Sadegh Marzban.
Summary: an overview of common drugs used in cancer, along with description of mechanism of action. Presented by Vural Tagal.
Summary: An overview of the fundamental theory of Bayesian inference underlying parameter estimation using the exponential tumor growth law as a motivating example. Maximum a posteriori (MAP) estimation is motivated and demonstrated. Sampling methods are motivated for future exploration. Presented by Daniel Glazar.
Summary: An overview of the motivation and process for generating virtual patient cohorts, with included explanation and examples from the Evolutionary Tumor Board at Moffitt Cancer Center. Presented by Mark Robertson-Tessi.
Summary: An overview of the motivation and process for visualization of high-dimensional data using techniques like UMAP, t-SNE, and PCA. Presented by Sandhya Prabhakaran.
Summary: "How I learned to start worrying and love SciComm" -- an overview of strategies for science communication, presented by Parmvir Bahia.