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Research-in-Progress (RIP) Seminar: Samir Akre (Bui), Graduate Student in Medical Informatics

ZOOM CA

TITLE: "Detection of Symptoms of Depression Using Data From the iPhone and Apple Watch." ABSTRACT: Digital health data from consumer wearable devices and smartphones have the potential to improve our understanding of mental illness. However, in conditions like depression, there is not yet a consistent uniform measurement tool whose result can be reliably used as […]

Research-in-Progress (RIP) Seminar: Kaija Gahm (Pinter-Wollman), Graduate Student in Ecology & Evolutionary Biology

ZOOM CA

TITLE: "An updated movement path randomization method to distinguish social and spatial drivers of animal interactions." ABSTRACT: Studying the spatial-social interface requires tools that distinguish between social and spatial drivers of interactions. Testing hypotheses regarding the factors determining animal interactions often involves comparing observed interactions with reference or ’null’ models. One approach to constructing reference models that account for spatial drivers […]

Research-in-Progress (RIP) Seminar: Christy Lee (Li JJ), Graduate Student in Statistics and Data Science

ZOOM CA

TITLE: "scDEED: a statistical method for detecting dubious 2D single-cell embeddings and optimizing t-SNE and UMAP hyperparameters." ABSTRACT: Two-dimensional (2D) embedding methods are crucial for single-cell data visualization. Popular methods such as t-distributed stochastic neighbor embedding(t-SNE) and uniform manifold approximation and projection (UMAP) are commonly used for visualizing cell clusters; however, it is well known […]