Daniel Segrè

About

Dr. Daniel Segrè obtained a Laurea (B.Sc-M.Sc.) in Physics from the University of Trieste, Italy, and a Ph.D. in Life Sciences at the Weizmann Institute of Science, Israel. Following his postdoctoral training in the Department of Genetics at Harvard Medical School, he joined Boston University as faculty in 2005. He is currently a Professor of Biology and Professor of Computing and Data Science at Boston University, with secondary appointments in Biomedical Engineering and Physics. Dr. Segrè is a core faculty member of the Bioinformatics Program and the Biological Design Center, and he is the founding Director of the Boston University Microbiome Initiative. His research focuses on a quantitative understanding of the principles governing the emergence, evolution, and dynamics of biological systems, including the origin of life and cellular resource allocation. The Segrè laboratory's current research centers on the role of metabolism in natural and artificially designed microbial communities, with applications in biomedicine, metabolic engineering, and environmental sustainability.

Research topics

• Biology
• Computer Science
• Ecology
• Computational biology
• Biochemical engineering
• Artificial Intelligence
• Engineering
• Machine Learning
• Environmental science
• Biological system

Selected publications

• Microbial metabolites in the marine carbon cycle

  Nature Microbiology · 2022 · 245 citations

  PublisherOA PDFDOI

• A metabolic modeling platform for the computation of microbial ecosystems in time and space (COMETS)

  Nature Protocols · 2021 · 196 citations

  Senior authorCorresponding
  PublisherOA PDFDOI

• Addressing uncertainty in genome-scale metabolic model reconstruction and analysis

  Genome biology · 2021 · 149 citations

  Senior authorCorresponding

  The reconstruction and analysis of genome-scale metabolic models constitutes a powerful systems biology approach, with applications ranging from basic understanding of genotype-phenotype mapping to solving biomedical and environmental problems. However, the biological insight obtained from these models is limited by multiple heterogeneous sources of uncertainty, which are often difficult to quantify. Here we review the major sources of uncertainty and survey existing approaches developed for rep…

  PublisherOA PDFDOI

• The Role of Synthetic Biology in Atmospheric Greenhouse Gas Reduction: Prospects and Challenges

  BioDesign Research · 2020 · 49 citations

  produced by respiration into a stable carbonate, designing plants with an increased root-to-shoot ratio, and creating plants with the ability to self-fertilize. A number of serious ecological and societal challenges must, however, be confronted and resolved before any such application can be fully assessed, realized, and deployed.

  DOI

• Metabolic complexity drives divergence in microbial communities

  Nature Ecology & Evolution · 2024-07-02 · 42 citations

  articleSenior author
  PublisherDOI

Frequent coauthors

• Joshua E. Goldford

  California Institute of Technology

  20 shared

• Ed Reznik

  Memorial Sloan Kettering Cancer Center

  18 shared

• Doron Lancet

  Weizmann Institute of Science

  15 shared

• Kirill S. Korolev

  Boston University

  12 shared

• Daniel Sher

  12 shared

• George M. Church

  Harvard–MIT Division of Health Sciences and Technology

  12 shared

• Ilija Dukovski

  Boston University

  12 shared

• Charles DeLisi

  12 shared

Labs

• Daniel Segrè LabPI

Education

• Ph.D., Computer Science

  University of California, Berkeley

  1991

• M.S., Computer Science

  University of California, Berkeley

  1987

• B.S., Computer Science

  University of California, Berkeley

  1985

Similar researchers at Boston University

• Pankaj Mehtah-73
• Marshall Van Alstyneh-56