John Quackenbush is Professor of Computational Biology and Bioinformatics and Chair of the Department of Biostatistics at the Harvard TH Chan School of Public Health and Professor at the Dana-Farber Cancer Institute. John’s PhD was in Theoretical Physics, but in 1992 he received received a fellowship to work on the Human Genome Project. This led him through the Salk Institute, Stanford University, and The Institute for Genomic Research (TIGR), before moving to Harvard in 2005. John’s research uses massive data to probe how many small effects combine to influence our health and risk of disease. He has developed more than 20 open-source methods for the inference and analysis of gene regulatory networks (GRNs) and the PHOENIX method for inferring time-course GRNs was recognized by the US National Cancer Institute as one of the most important advances of 2024. His published work has more than 100,000 citations and his honors include recognition in 2013 as a White House Open Science Champion of Change and election in 2022 to the National Academy of Medicine. In 2012, he founded Genospace, a precision medicine software company that was sold to Hospital Corporation of America in 2017. He serves on numerous advisory boards, including those of Caris Life Sciences, 3X Genomics, and RenalytixAI.