Max Homilius

I enjoy working at the interface of computational biology and machine learning to better understand biology and enhance human health. I have experience in developing deep learning models for the analysis of biomedical data from various modalities, including blood cytometry, electrocardiogram recordings, and medical notes.
To gain insights into biological mechanisms, I have conducted genetic association studies using innovative phenotypes like cellular perturbation responses and deep learning-derived cardiac traits in biobank-scale cohorts as well as integrative analyses of sequencing, metabolomic, and proteomic data across human and animal models.
I am currently a principal data scientist at Mass General Brigham. I did my postdoc at the MacRae Lab and One Brave Idea, and obtained my PhD in Computer Science at the Troyanskaya Lab. At Nationwide Children’s Hospital, I worked on pediatric genetic conditions, combining curated phenotypes with those extracted from medical notes to identify novel gene-phenotype associations.