Anzar Alvi: AI x Cancer, Transforming Research Through Computational Pathology

Presented by: Professor Joshua Speagle

Professor Speagle is an assistant professor of astrostatistics and works to understand galaxy formation, behavior, and evolution using a mix of astronomy, statistics, and data science. He will be giving a short 30 minute talk about essential techniques in statistical inference, which is incredibly useful for taking a step towards understanding how bioinformatics works.

Presented by: Jaza Alam 

Genome-wide association studies (GWAS) scan thousands of genetic variants across large populations to identify those linked to traits or diseases. These studies have revealed key insights into biology, heritability, risk prediction, and drug development. (Uffelmann et al. 2021)

Presented by: Yein Chung

Brief introduction to one of the most popular bioinformatics packages, Seurat. Using this package, you can analyzing scRNA-seq datasets to examine cellular heterogeneity in different contexts, such as development, cancer, and other diseased states. (Satjia et al., 2015 Nature Biotechnology)