Professor

Dr. Dae Wook Kim is an Assistant Professor in the Department of Brain & Cognitive Sciences at KAIST. His research interests lie in the analysis of biological dynamics, development of mathematical frameworks to analyze biological data, and applications to real-world clinical data to ultimately enable personalized circadian medicine.
He completed his undergraduate studies in the Department of Mathematical Sciences at KAIST and received his Ph.D. in deterministic and stochastic mathematical modeling of biological systems with time delays. Afterward, he worked as a research assistant professor in the Department of Mathematics at the University of Michigan and served as an assistant professor in the Department of Mathematics at Sogang University.
His ultimate research goal is to develop digital biomarkers that can be used for the prevention, diagnosis, and treatment of various diseases, including mental and sleep disorders, and to design digital medical protocols based on these biomarkers.

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Lee MP, Kim DW, Fang Y, Bohnert ASB, Sen S, Forger DB. The real-world association between digital markers of circadian disruption and mental health risks. npj Digital Medicine. (2024) 7(1):1-15.
Kim DW, Lee MP, Forger DB. Wearable Data Assimilation to Estimate the Circadian Phase. SIAM Journal on Applied Mathematics. (2023) 9(0):S452-75.
Kim DW, Byun JM, Lee JO, Kim JK, Koh Y. Chemotherapy delivery time affects treatment outcomes of female patients with diffuse large B cell lymphoma. JCI insight. (2023) 1;8(2).
Kim DW, Hong H, Kim JK. Systematic inference identifies a major source of heterogeneity in cell signaling dynamics: The rate-limiting step number. Science Advances. (2022) 18;8(11):eabl4598.
Beesley S, Kim DW, D’Alessandro M, Jin Y, Lee K, Joo H, Young Y, Tomko Jr RJ, Faulkner J, Gamsby J, Kim JK. Wake-sleep cycles are severely disrupted by diseases affecting cytoplasmic homeostasis. PNAS. (2020) 10;117(45):28402-11.

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