Dr. Dan Knights is an Associate Professor in the Department of Computer Science and Engineering and Biotechnology Institute, University of Minnesota, Minneapolis, MN, USA. He joined the Department of
Computer Science & Engineering in 2012 as an assistant professor. He was promoted to associate professor in 2018 and was named the Director of Undergraduate Studies for the Department of Computational Biology in the College of Biological Sciences in 2022. Additionally, Knights was the CEO and co-founder of CoreBiome, Inc. from 2017 to 2020. Prior to coming to the University, he completed post-doctoral fellowships at Harvard Medical School, the Broad Institute of Harvard, and the Massachusetts Institute of Technology. Dr. Knights’ research interests are in developing data mining methods for feature extraction and prediction with high-dimensional and incomplete data. Much of his research has focused on using computational genomics to study the role of the microbiome
in industrialization and human health. This work continues, alongside more recent work focused on modeling the sustainability of various practices in human civilization, to identify changes that will make civilization more sustainable for many generations.
Dr. Dan Knights is an Associate Professor in the Department of Computer Science and Engineering and Biotechnology Institute, University of Minnesota, Minneapolis, MN, USA. He joined the Department of
Computer Science & Engineering in 2012 as an assistant professor. He was promoted to associate professor in 2018 and was named the Director of Undergraduate Studies for the Department of Computational Biology in the College of Biological Sciences in 2022. Additionally, Knights was the CEO and co-founder of CoreBiome, Inc. from 2017 to 2020. Prior to coming to the University, he completed post-doctoral fellowships at Harvard Medical School, the Broad Institute of Harvard, and the Massachusetts Institute of Technology. Dr. Knights’ research interests are in developing data mining methods for feature extraction and prediction with high-dimensional and incomplete data. Much of his research has focused on using computational genomics to study the role of the microbiome
in industrialization and human health. This work continues, alongside more recent work focused on modeling the sustainability of various practices in human civilization, to identify changes that will make civilization more sustainable for many generations.