Daniel Segrè, Ph.D.
Professor
Boston University College of Arts and Sciences
Biology

PhD, Weizmann Institute of Science
MSc, University of Trieste
BSc, University of Trieste



Prof. Daniel Segrè is a Professor of Biology, Biomedical Engineering and Physics, and a core faculty member in the Bioinformatics Graduate Program at Boston University. He is a member of the Biological Design Center and the founding director of the Boston University Microbiome Initiative. After training in Physics in Trieste, Italy, Prof. Segrè obtained a Ph.D. in the Life Sciences at the Weizmann Institute, Israel, where he studied the origin and evolution of living systems. As a postdoctoral fellow at Harvard Medical School, and later as a faculty at Boston University, Prof. Segrè started developing mathematical and computational approaches for understanding metabolism at multiple scales, from individual organisms to large-scale ecosystems. Current work in the Segrè lab is focused on predicting, designing and experimentally testing metabolic activity in microbes and microbial communities, with applications in human microbiome research, marine and soil biogeochemical cycling, and synthetic ecology. Among other contributions, the Segrè group has implemented models for the early emergence of biochemical networks, pioneered algorithms for the design of new putative inter-species interactions, and developed COMETS (Computation Of Microbial Ecosystems in Time and Space), a quantitative framework for simulating microbial ecosystem metabolism in spatially structured environments.


Predoctoral Training in Bioinformatics and Computational Biology
07/01/2023 - 06/30/2028 (Multi-PI)
PI: Daniel Segrè, Ph.D.
NIH/National Institute of General Medical Sciences
5T32GM150533-02

Center for Chemical Currencies of a Microbial Planet (C-CoMP)
10/01/2021 - 09/30/2026 (Subcontract PI)
Woods Hole Oceanographic Institution National Science Fdn
OCE-2019589

m-CAFEs: Microbial Community Analysis & Functional Evaluation in Soils Scientific Focus Area
06/29/2020 - 09/30/2026 (Subcontract PI)
Lawrence Berkeley National Laboratory Department of Energy
DE-AC02-05CH11231

NSF-BSF: Cell death, metabolism and the emergency of long-term survival through microbial interactions in Prochlorococcus, a globally abundant marine model cyanobacterium
09/01/2023 - 08/31/2026 (PI)
National Science Foundation
IOS-2246707

Spatio-temporal mechanistic modeling of whole-cell tumor metabolism
05/01/2023 - 04/30/2025 (Multi-PI)
PI: Daniel Segrè, Ph.D.
NIH/National Cancer Institute
5R21CA279630-02

The aphrodisiac gut: defining the factors promoting yeast mating within insect intestines
10/04/2021 - 10/03/2024 (PI)
Human Frontier Science Program (France)


Microbiome-based biomarkers and models of lung cancer development and treatment
12/01/2022 - 11/30/2023 (Subcontract PI)
Rutgers, The State University of New Jersey NIH NCI
7R21CA260382-02

Predoctoral Training in Bioinformatics and Computational Biology
06/01/2018 - 06/30/2023 (Key Person / Mentor)
PI: Thomas D. Tullius, PhD
NIH/National Institute of General Medical Sciences
5T32GM100842-10

Microbiome-based biomarkers and models of lung cancer development and treatment
12/08/2021 - 08/31/2022 (Multi-PI)
PI: Daniel Segrè, Ph.D.
NIH/National Cancer Institute
1R21CA260382-01A1

Collaborative Research: Molecular Mechanisms and Biogeochemical Consequences of Decomposer Species Interactions During Succession in Ecosystems
09/01/2015 - 08/31/2021 (Multi-PI)
PI: Daniel Segrè, Ph.D.
National Science Foundation
DEB-1457695

Showing 10 of 34 results. Show All Results


Title


Yr Title Project-Sub Proj Pubs
2024 Predoctoral Training in Bioinformatics and Computational Biology 5T32GM150533-02
2024 Spatio-temporal mechanistic modeling of whole-cell tumor metabolism 5R21CA279630-02
2023 Predoctoral Training in Bioinformatics and Computational Biology 1T32GM150533-01
2023 Spatio-temporal mechanistic modeling of whole-cell tumor metabolism 1R21CA279630-01
2023 Microbiome-based biomarkers and models of lung cancer development and treatment 7R21CA260382-02
2022 Microbiome-based biomarkers and models of lung cancer development and treatment 1R21CA260382-01A1
2019 A platform for mining, visualization and design of microbial interaction networks 5R01GM121950-03 9
2018 A platform for mining, visualization and design of microbial interaction networks 5R01GM121950-02 9
2018 Cultivation, Nature, Ecology and Pathogenicity of the Uncultivable Oral Microbiom 5R01DE024468-05 19
2017 A platform for mining, visualization and design of microbial interaction networks 1R01GM121950-01 9
Showing 10 of 24 results. Show All Results

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

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  1. Silverstein MR, Bhatnagar JM, Segrè D. Metabolic complexity drives divergence in microbial communities. Nat Ecol Evol. 2024 Aug; 8(8):1493-1504. PMID: 38956426; DOI: 10.1038/s41559-024-02440-6;
     
  2. Moyer DC, Reimertz J, Segrè D, Fuxman Bass JI. Semi-Automatic Detection of Errors in Genome-Scale Metabolic Models. bioRxiv. 2024 Jun 27.View Related Profiles. PMID: 38979177; PMCID: PMC11230171; DOI: 10.1101/2024.06.24.600481;
     
  3. Givati S, Forchielli E, Aharonovich D, Barak N, Weissberg O, Belkin N, Rahav E, Segrè D, Sher D. Diversity in the utilization of different molecular classes of dissolved organic matter by heterotrophic marine bacteria. Appl Environ Microbiol. 2024 Jul 24; 90(7):e0025624. PMID: 38920365; PMCID: PMC11267927; DOI: 10.1128/aem.00256-24;
     
  4. Herbst K, Wang T, Forchielli EJ, Thommes M, Paschalidis IC, Segrè D. Multi-Attribute Subset Selection enables prediction of representative phenotypes across microbial populations. Commun Biol. 2024 Apr 03; 7(1):407.View Related Profiles. PMID: 38570615; PMCID: PMC10991586; DOI: 10.1038/s42003-024-06093-w;
     
  5. Silverstein M, Bhatnagar JM, Segrè D. Metabolic complexity drives divergence in microbial communities. bioRxiv. 2023 Aug 03. PMID: 37577626; PMCID: PMC10418233; DOI: 10.1101/2023.08.03.551516;
     
  6. Kishore D, Birzu G, Hu Z, DeLisi C, Korolev KS, Segrè D. Inferring microbial co-occurrence networks from amplicon data: a systematic evaluation. mSystems. 2023 Aug 31; 8(4):e0096122.View Related Profiles. PMID: 37338270; PMCID: PMC10469762; DOI: 10.1128/msystems.00961-22;
     
  7. Jo C, Bernstein DB, Vaisman N, Frydman HM, Segrè D. Construction and Modeling of a Coculture Microplate for Real-Time Measurement of Microbial Interactions. mSystems. 2023 Apr 27; 8(2):e0001721.View Related Profiles. PMID: 36802169; PMCID: PMC10134821; DOI: 10.1128/msystems.00017-21;
     
  8. Segrè D, Mitri S, Shou W, Süel GM, Mizrahi I, Kelly L, Rebolleda-Gómez M, Ratzke C, Ogbunugafor CB, Schwartzman JA, Kryazhimskiy S, Leventhal GE, Kost C, Bell T. What do you most want to understand about how collective features emerge in microbial communities? Cell Syst. 2023 Feb 15; 14(2):91-97. PMID: 36796334; DOI: 10.1016/j.cels.2023.01.001;
     
  9. Silverstein MR, Segrè D, Bhatnagar JM. Environmental microbiome engineering for the mitigation of climate change. Glob Chang Biol. 2023 Apr; 29(8):2050-2066. PMID: 36661406; DOI: 10.1111/gcb.16609;
     
  10. Jo C, Zhang J, Tam JM, Church GM, Khalil AS, Segrè D, Tang TC. Unlocking the magic in mycelium: Using synthetic biology to optimize filamentous fungi for biomanufacturing and sustainability. Mater Today Bio. 2023 Apr; 19:100560.View Related Profiles. PMID: 36756210; PMCID: PMC9900623; DOI: 10.1016/j.mtbio.2023.100560;
     
Showing 10 of 60 results. Show More

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 60 publications over 13 distinct years, with a maximum of 10 publications in 2021

YearPublications
20121
20138
20143
20152
20162
20174
20183
20198
20202
202110
20227
20236
20244


2024 American Association for the Advancement of Science (AAAS): Election to 2023 Fellow
2021 Recipient of Human Frontiers Science Program research grant award
2017 Boston University Evans Center: r Interdisciplinary Biological Research Excellent Research Collaborator Award
2016 NASA-NSF Origins of Life Ideas Lab: Selected for participation
2016 Recipient of Human Frontiers Science Program research grant award
2016 The White House, Washington DC: Attendee at Launch of National Microbiome Initiative
2014 Collective Behavior (organized by National Academy of Sciences, the National Academy of Engineering,: National Academies Keck Futures Initiative (NAKFI) workshop
2013 DuPont’s Horizons in Biotechnology distinguished speaker
2012 University of Minnesota: Keynote Speaker, Synthetic Ecology Symposium
2010 "The strategies of Life", Trieste, Italy (outreach event, III Conference of the Italian Society for : Panelist/Keynote speaker, Public debate
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