Dr. Sunjae Lee is an lead scientist in data-driven life sciences, such as systems biology of human microbiome and the metabolism. He has received Ph.D. in bioinformatics/data mining at KAIST, and had professional experiences in world-leading systems biology groups of human and microbiome in Sweden and UK. He is now establishing the group of life data mining, investigating many types of chronic diseases, where microbiome and metabolism matters.
Post-docs
Kirtipal Nikhil
Email: Kirtipal.n@gmail.com
I am a Postdoc researcher with experience in academia and research, holding a
Ph.D. in the Faculty of Science (Biotechnology) from Panjab University,
Chandigarh, India. With a background in genomics, I focus on multi-omics
approaches to investigate microbiome dynamics, aiming to uncover novel insights
I am Vikas received Ph.D. from the Indian Institute of Technology Kanpur, India. My research interest is analyzing gene expression data using machine learning and fuzzy learning, and currently working on genome-scale modeling to understand the genotype-phenotype relationship.
Shin Young Park
Email: bona9652@gmail.com
I am a postdoctoral researcher passionate about uncovering how the gut microbiome shapes human health. I earned my Ph.D. in Life Sciences and Biotechnology from Kyungpook National University, Korea. My research has focused on T cell senescence, neuroprotection in Alzheimer’s disease, and immunomodulatory therapies for inflammatory diseases. With expertise in immunology, neurobiology, and molecular biology, I aim to develop microbiome-based therapeutics to promote health and healthy aging.
Jaewoo Baek
Email: jwbaek9506@kaist.ac.kr
I am a postdoctoral researcher specializing in AI-driven computational metagenomics and multi-omics integration for understanding gut microbiome–host interactions. I earned my Ph.D. in Life Sciences from the Gwangju Institute of Science and Technology (GIST), Korea, where I developed MAG-based functional profiling pipelines and a deep learning framework for immunotherapy response prediction using convolutional neural networks. My recent work focuses on the gut–brain axis in Parkinson's disease, leveraging machine learning and integrative multi-omics approaches to uncover how shifts in microbial fermentation ecology contribute to neurodegeneration. I aim to harness AI and data-driven microbiome science to accelerate therapeutic target discovery and enable precision medicine.
"Research interest : AI for microbiome analysis, multi-omics data integration, gut–brain axis, machine learning-based biomarker discovery, metagenomics, metabolomics, microbiome therapeutics "
Researchers
Minseo Park
Email: minseo4020@gmail.com
I am a researcher passionate about uncovering how molecular changes drive aging and translating these findings into actionable biomarkers for healthy aging. I received my M.S. degree in Life Sciences from Gwangju Institute of Science and Technology (GIST). My research focuses on identifying aging-associated biomarkers and tissue specific protein-protein interaction through multi-omics data integration. Leveraging expertise in proteomics, molecular biology, and bioinformatics, I aim to discover multi-omics-based personalized biomarker panels using ML/AI techniques.
Students
Youngchang Seo
Email: ycseo1204@gmail.com
B.S.2017 Molecular Life Sciences, Hanyang University ERICA Campus M.S.2023 School of Life Sciences, GIST
Ph.D.2023-present Life Mining Lab, GIST
"Research interest : Microbiome and genome-scale metabolic modeling"
Junwoo Jo
Email: jjw3954@naver.com
B.S.2020 Life Sciences, Busan National University M.S.2023School of Life Sciences, GIST Ph.D.2023-present Life Mining Lab, GIST