Tal Korem

Assistant Professor

Columbia University Irving Medical Center

United States

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Tal Korem is an Assistant Professor at Columbia University Medical Center in the United States. His research focuses on microbiome analysis, with recent articles covering topics such as phenotype-associated values in sparse features, cross-study generalization of microbiome-based prediction models, and microbial strain tracking. He also investigates the relationship between the salivary microbiome and various health conditions, including Barrett's Esophagus and preterm birth.

Tal Korem

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Articles (21)

Compositional transformations can reasonably introduce phenotype-associated values into sparse features

Processing-bias correction with DEBIAS-M improves cross-study generalization of microbiome-based prediction models

Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research

The Salivary Microbiome and Predicted Metabolite Production Are Associated with Barrett's Esophagus and High-Grade Dysplasia or Adenocarcinoma

Planning and Analyzing a Low-Biomass Microbiome Study: A Data Analysis Perspective

Robustness of cancer microbiome signals over a broad range of methodological variation

Domain adaptation in small-scale and heterogeneous biological datasets

Microsynteny is a powerful front for microbial strain tracking

Contamination source modeling with SCRuB improves cancer phenotype prediction from microbiome data

Microdiversity of the vaginal microbiome is associated with preterm birth

pymgpipe: microbiome metabolic modeling in Python

Prediction of Personal Glycemic Responses to Food for Individuals With Type 1 Diabetes Through Integration of Clinical and Microbial Data.

The Gut Microbiome of Adults With Type 1 Diabetes and Its Association With the Host Glycemic Control.

Accurate and robust inference of microbial growth dynamics from metagenomic sequencing reveals personalized growth rates.

The hygiene hypothesis, the COVID pandemic, and consequences for the human microbiome

A non-optimal cervicovaginal microbiota in pregnancy is associated with a distinct metabolomic signature among non-Hispanic Black individuals.

Embracing Metagenomic Complexity with a Genome-Free Approach

Minimal Associations between Short-Term Dietary Intake and Salivary Microbiome Composition.

Deciphering metabolism, one microbe at a time

Embracing Metagenomic Complexity with a Genome-Free Approach

A reference map of potential determinants for the human serum metabolome.

Collaborators (11)

Konstantinos Tsirigos

George Austin

tomiko oskotsky

Maria Gloria Dominguez-Bello

Harry Lee

Connie Wing Yan Ha

Jonathan L Golob

Yue Clare Lou

Anne-Catrin Uhlemann

Gregory A. Buck

Carolina Tropini

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