Prof.
Eran
Segal
- Computer Science and Applied Mathematics
Weizmann Institute of Science
English, Hebrew
- Discipline Computer Science, Mathematics
- Computer Science Field Artificial Intelligence, Computational Biology, Data Science, Databases, Machine Learning
- Mathematics Field Computational Mathematics, Functional Analysis, Logic, Statistics
- Research Keywords Clinical trials, Computational biology, Genetics, Machine Learning, metabolomics, microbiome, molecular biology, multi-omics, Nutrition, phenotype
Research Interests
Prof. Segal has extensive experience in machine learning, computational biology, and analysis of heterogeneous high-throughput genomic data. His research focuses on Microbiome, Nutrition, Genetics, and their effect on health and disease. His aim is to develop personalized medicine based on big data from human cohorts.
Selected Awards
2020-2021: Advisor to the government of Israel, COVID-19 modeling and combatting strategies
2020: Highly cited researcher, Web of Science
2019: Scripps Translational Science Award
2018: European Research Council (ERC) Advanced grant
2016: TedEx talk (https://tinyurl.com/k9g4s5t)
2016: Elected to list of 50 Innovators, Sonima (http://bit.ly/2awTzlu)
2015: Michael Bruno prize, awarded by the Israel Institute for Advanced Studies
2015: Elected as EMBO Member
2014: European Research Council (ERC) Consolidator grant
2014:Landmark paper by the journal Cell (one of 25 papers in 1974-2014)
2020: Highly cited researcher, Web of Science
2019: Scripps Translational Science Award
2018: European Research Council (ERC) Advanced grant
2016: TedEx talk (https://tinyurl.com/k9g4s5t)
2016: Elected to list of 50 Innovators, Sonima (http://bit.ly/2awTzlu)
2015: Michael Bruno prize, awarded by the Israel Institute for Advanced Studies
2015: Elected as EMBO Member
2014: European Research Council (ERC) Consolidator grant
2014:Landmark paper by the journal Cell (one of 25 papers in 1974-2014)
