Graduate student researcher

Jason Youn

Graduate Student Researcher

AIFS projects

AIFS publications

2 projects

Project involvement

Year 2

Pilot Database for Milk Molecular Composition

#Nutrition

Year 1

Predicting Health Effects from Food Composition via Large-Scale Information Extraction

#Core AI Technologies#Nutrition

8 publications

AIFS publications

FeaturedJournal Article · npj Science of Food · 2026
A Unified Knowledge Graph Linking Foodomics to Chemical-disease Networks and Flavor Profiles
Li, Fangzhou, Jason Youn, Kaichi Xie, Trevor Chan, Pranav Gupta, Arielle Yoo, Michael Gunning, Keer Ni, and Ilias Tagkopoulos
Paper page for A unified knowledge graph linking foodomics to chemical-disease networks and flavor profiles DOI 10.1038/s41538-025-00680-9
Journal Article · Frontiers in Artificial Intelligence · 2024
Predicting Clinical Trial Success for Clostridium Difficile Infections Based on Preclinical Data
Li, Fangzhou, Jason Youn, Christian Millsop, and Ilias Tagkopoulos
Paper page for Predicting clinical trial success for Clostridium difficile infections based on preclinical data PDF of Predicting clinical trial success for Clostridium difficile infections based on preclinical data DOI 10.3389/frai.2024.1487335
Journal Article · Scientific Reports · 2024
Prediction of Adolescent Depression From Prenatal and Childhood Data From ALSPAC Using Machine Learning
Yoo, Arielle, Fangzhou Li, Jason Youn, Joanna Guan, Amanda E Guyer, Camelia E Hostinar, and Ilias Tagkopoulos
Paper page for Prediction of adolescent depression from prenatal and childhood data from ALSPAC using machine learning PDF of Prediction of adolescent depression from prenatal and childhood data from ALSPAC using machine learning DOI 10.1038/s41598-024-72158-9
Journal Article · Computers in Biology and Medicine · 2024
FoodAtlas: Automated Knowledge Extraction of Food and Chemicals From Literature
Youn, Jason, Fangzhou Li, Gabriel Simmons, Shanghyeon Kim, and Ilias Tagkopoulos
Paper page for FoodAtlas: Automated knowledge extraction of food and chemicals from literature Project for FoodAtlas: Automated knowledge extraction of food and chemicals from literature DOI https://doi.org/10.1016/j.compbiomed.2024.109072
Conference Article · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023) · 2023
KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction
Youn, Jason and Ilias Tagkopoulos
Paper page for KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction PDF of KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction DOI 10.18653/v1/2023.starsem-1.20
Preprint · arXiv · 2023
Semi-automated Construction of Food Composition Knowledge Base
Youn, Jason, Fangzhou Li, and Ilias Tagkopoulos
Paper page for Semi-automated Construction of Food Composition Knowledge Base Project for Semi-automated Construction of Food Composition Knowledge Base DOI 10.48550/arxiv.2301.11322
FeaturedJournal Article · Nature Communications · 2022
Knowledge Integration and Decision Support for Accelerated Discovery of Antibiotic Resistance Genes
Youn, Jason, Navneet Rai, and Ilias Tagkopoulos
Paper page for Knowledge integration and decision support for accelerated discovery of antibiotic resistance genes GitHub repository for Knowledge integration and decision support for accelerated discovery of antibiotic resistance genes Project for Knowledge integration and decision support for accelerated discovery of antibiotic resistance genes DOI 10.1038/s41467-022-29993-z
Journal Article · Frontiers in Artificial Intelligence · 2020
Using Word Embeddings to Learn a Better Food Ontology
Youn, Jason, Tarini Naravane, and Ilias Tagkopoulos
Paper page for Using Word Embeddings to Learn a Better Food Ontology Project for Using Word Embeddings to Learn a Better Food Ontology DOI 10.3389/frai.2020.584784

Back to the team

Jason Youn

Project involvement

Pilot Database for Milk Molecular Composition

Predicting Health Effects from Food Composition via Large-Scale Information Extraction

AIFS publications

A Unified Knowledge Graph Linking Foodomics to Chemical-disease Networks and Flavor Profiles

Predicting Clinical Trial Success for Clostridium Difficile Infections Based on Preclinical Data

Prediction of Adolescent Depression From Prenatal and Childhood Data From ALSPAC Using Machine Learning

FoodAtlas: Automated Knowledge Extraction of Food and Chemicals From Literature

KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction

Semi-automated Construction of Food Composition Knowledge Base

Knowledge Integration and Decision Support for Accelerated Discovery of Antibiotic Resistance Genes

Using Word Embeddings to Learn a Better Food Ontology