AI in Biology - Learning from Microbial Genomes and Developing Embryos
Jiawei Wang
University of Cambridge
Summary:
Artificial Intelligence (AI) is profoundly transforming scientific research across biology, medicine, and health. In this lecture, I will share my research experience in developing and applying AI techniques to tackle challenges in these fields. I will present two examples: first, how we model microbial protein sequences to understand bacterial interactions with their hosts, environments, competitors, and phages, and second, how we use AI to analyze bio-images for studying patterns in 3D mammalian early embryo development. These applications illustrate how AI is enhancing our understanding of biological systems and bridging interdisciplinary gaps, paving the way for innovative research and solutions.
Dr Jiawei Wang is a Marie Curie Fellow and EMBO Non-Stipendiary Fellow at European Bioinformatics Institute (EMBL-EBI) and a Junior Research Fellow at Wolfson College in University of Cambridge. His background covers multiple disciplines, from single-cell genomics, computational biology and microbiology to computer science and software engineering.
