spatial transcriptomics

Bridging AI and Spatial Biology to Navigate Biological Landscapes

Haoyang Li, Ph.D. Student, Computer Science

May 20, 11:00 - 13:00

B3 L5 R5209; Zoom Meeting 2343423945

AI artificial intelligence Computational biology bioinformatics spatial transcriptomics

This thesis presents several studies by proposing AI-driven methods to supply a comprehensive and precise representation of biological landscapes via spatially resolved transcriptomics (SRT) data.

Jesper Tegner

Professor, Bioscience

living systems machine learning machine intelligence systems medicine genomics artificial intelligence brain-inspired computation Systems neuroscience algorithmic information theory Dynamical Systems spatial transcriptomics single cell biology

Jasper Tegner is an M.D./Ph.D., innovator and professor with over 350 publications, dedicated to exploring the interconnected mechanisms underlying life, intelligence and the mind. His research aims to advance fundamental progress in artificial intelligence by moving beyond engineering to understand the intrinsic modes of operation within cells, between cells and within the brain.