Seminars

Abstract: This talk explores a novel approach to speeding up complex database queries by combining two powerful ideas: factorization and vectorized execution. Instead of processing large intermediate results (which can be slow and memory-intensive), the method represents data in a compact, factorized form that avoids redundancy. It also applies vectorized processing techniques to process data… Read More »Faster Queries, Smarter Execution: Factorization Meets Vectorization in Modern Data Systems

Abstract: Neuroscience and AI share a bottleneck: while one can build (artificial) or record (biological) complex networks, we struggle to explain their functional circuitry; i.e., how they compute. In this talk I use whole-brain recordings from C. elegans, a canonical neurobiological system, as a concrete testbed for “circuit interpretability.” I then introduce two complementary inference approaches… Read More »Neural Circuit Discovery via Representation and Dynamics by Savik Kinger

Speaker: Ms. Ajita Shree is a PhD student in the Department of Computer Science and Engineering at IIT Kanpur and will be joining EMBL-EBI, UK, as a postdoctoral researcher. Abstract: Recent advances in large-scale genomic assays, including single-cell and spatial transcriptomics (ST), have provided unprecedented insights into the biological mechanisms underlying development, disease, and therapeutic response.… Read More »Deep generative models for single-cell and spatial genomics by Ajita Shree