Maizie Zhou
Assistant Professor, Biomedical Engineering
The overarching goal of my lab is to understand how we generate intelligent behavior through normal brain development and learning-induced plasticity, and the consequences of defects in these processes. We investigate multiple dimensions of these questions, spanning computational genomics, bioinformatics, computational neuroscience, and machine learning. Our approach tackles a range of data science problems, including designing new algorithms for high-throughput sequencing with applications to personal and cancer genomes; data mining of large cohort studies in neurological diseases to link risky genes and phenotypes; and understanding dynamical behavior of neural circuits, in natural and artificial neural networks.