Lee, Deok-Sun
Professor
Data Science
With the advent of large-scale data and the rapid advancement of computational performance, interdisciplinary researches on the mathematical principles of macroscopic complex systems in nature and society are actively progressing, expanding the scope of natural sciences. Professor Deok-Sun Lee has conducted theoretical research to understand the emergent phenomena of complex systems based on the perspectives and methodologies of statistical physics and complex network theory. Alongside this, he has performed quantitative modeling research based on data from various complex systems, ranging from cellular metabolism and disease networks to ecosystems and international trade networks. Through this work, he aims to establish a framework for developing effective theories that provide verifiable predictions and insights into the structure and function of complex systems. His representative achievements include research on the origins of comorbid metabolic diseases revealed through the structure of human metabolic network topology and studies on phase transitions and critical phenomena in scale-free networks. These accomplishments have earned him the Cozzarelli Prize from the National Academy of Sciences of the USA and the Yongbong Prize from the Korean Physical Society.
- 2020 - present: Professor, Korea Institute for Advanced Study
- 2009 - 2020: Professor, Inha University
- 2006 - 2009: Postdoctoral researcher, University of Notre Dame and Northeastern University
- 2004 - 2006: Postdoctoral researcher, Saarland University
- 2003 - 2004: Postdoctoral researcher, Center for Theoretical Physics, Seoul National University
- 2003: Ph.D. in Physics, Seoul National University
Publications at KIAS
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Entropy-induced phase transitions in a hidden Potts model
PHYSICAL REVIEW E, 2024 -
Correlation-enhanced viable core in metabolic networks
CHAOS SOLITONS & FRACTALS, 2024 -
Heterogeneous Popularity of Metabolic Reactions from Evolution
PHYSICAL REVIEW LETTERS, 2024 -
Scaling in local to global condensation of wealth on sparse networks
PHYSICAL REVIEW E, 2023 -
Contagion dynamics on hypergraphs with nested hyperedges
PHYSICAL REVIEW E, 2023 -
(k, q)-core decomposition of hypergraphs
CHAOS SOLITONS & FRACTALS, 2023 -
Degree distributions under general node removal: Power-law or Poisson?
PHYSICAL REVIEW E, 2022 -
Structure of international trade hypergraphs
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2022 -
Stability and selective extinction in complex mutualistic networks
PHYSICAL REVIEW E, 2022 -
Uncovering hidden dependency in weighted networks via information entropy
Physical Review Research, 2021 -
From coarse to fine: the absolute Escherichia coli proteome under diverse growth conditions
MOLECULAR SYSTEMS BIOLOGY, 2021 -
Skewness of local logarithmic exports
PHYSICAL REVIEW E, 2021
Selected Publications
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The implications of human metabolic network topology for disease comorbidity
Proceedings of the National Academy of Sciences , 105(29), 9880, 2008 -
Evolution of scale-free random graphs: Potts model formulation
Nuclear Physics B, 696(3), 351, 2004 -
Interspecific competition underlying mutualistic networks
Physical Review Letters, 108(10), 108701, 2012 -
Flow correlated percolation during vascular remodeling in growing tumors
Physical Review Letters, 96(5), 58104, 2006 -
Sandpile on scale-free networks
Physical Review Letters, 91(14), 148701, 2003 -
First passage time for random walks in heterogeneous networks
Physical Review Letters, 109(8), 88701, 2012 -
Distribution of extremes in the fluctuations of two-dimensional equilibrium interfaces
Physical Review Letters, 95(15), 150601, 2005 -
Heterogeneous popularity of metabolic reactions from evolution
Physical Review Letters, 132(1), 18401, 2024 -
Blueprint for antimicrobial hit discovery targeting metabolic networks
Proceedings of the National Academy of Sciences, 107(3), 1082, 2010 -
Large deviation function of the partially asymmetric exclusion process
Physical Review E, 59(6), 6476, 1999
- Office: 7306 / TEL) 82-2-958-3881 /
- School of Computational Sciences, Korea Institute for Advanced Study
- 85 Hoegiro Dongdaemun-gu, Seoul 02455, Republic of Korea.