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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Our New Paper in Science: Mapping the Molecular Fingerprints of Human Diseases
Published:
I am thrilled to share some exciting news — our latest work, “A human pan-disease blood atlas of the circulating proteome,” has just been published in Science! 🧬✨
A New Beginning: Research at Yanbian University
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I am delighted to share that, starting from July 1st, 2025, I have officially joined the Department of Science at Yanbian University to continue my academic career.
portfolio
Portfolio item number 1
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Short description of portfolio item number 1
Portfolio item number 2
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Short description of portfolio item number 2
publications
Analysis of node2vec random walks on networks
Published in Proc. R. Soc. A, 2020
We analyze the properties of node2vec random walks on networks.
Recommended citation: Meng, L., & Masuda, N. (2020). "Analysis of node2vec random walks on networks." Proc. R. Soc. A, 476:20200447.
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Epidemic dynamics on metapopulation networks with node2vec mobility
Published in J. Theor. Biol., 2022
We study epidemic spreading dynamics using node2vec-based mobility patterns.
Recommended citation: Meng, L., & Masuda, N. (2022). "Epidemic dynamics on metapopulation networks with node2vec mobility." J. Theor. Biol., 534:110960.
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Perturbation theory for evolution of cooperation on networks
Published in J. Math. Biol., 2023
We apply perturbation theory to study cooperation evolution on networks.
Recommended citation: Meng, L., & Masuda, N. (2023). "Perturbation theory for evolution of cooperation on networks." J. Math. Biol., 87:12.
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Cooperation and the social brain hypothesis in primate social networks
Published in Front. Complex Syst., 2024
We test the social brain hypothesis in primate social networks.
Recommended citation: MacLaren, N. G., Meng, L., Collier, M., & Masuda, N. (2024). "Cooperation and the social brain hypothesis in primate social networks." Front. Complex Syst., 1:1344094.
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Multi-omics analysis reveals the key factors involved in the severity of the Alzheimer’s disease
Published in Alzheimers Res. Ther., 2024
Multi-omics analysis of Alzheimer’s disease severity factors.
Recommended citation: Meng, L., Jin, H., Yulug, B., Altay, O., Li, X., Hanoglu, L., Cankaya, S., Coskun, E., Idil, E., Nogaylar, R., et al. (2024). "Multi-omics analysis reveals the key factors involved in the severity of the Alzheimer’s disease." Alzheimers Res. Ther., 16:213.
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Integrative proteo-transcriptomic characterization of advanced fibrosis in chronic liver disease across etiologies
Published in Cell Reports Medicine, 2025
Proteo-transcriptomic analysis of advanced fibrosis across etiologies.
Recommended citation: Yang, H., Atak, D., Yuan, M., Li, M., Altay, O., Demirtas, E., Peltek, I. B., Ulukan, B., Yigit, B., Sipahioglu, T., et al. (2025). "Integrative proteo-transcriptomic characterization of advanced fibrosis in chronic liver disease across etiologies." Cell Reports Medicine, 6(2).
talks
Second-order random walks in a toy network
Published:
Conference talk on second-order random walks in networks.
Stationary distribution and spectral gap of the node2vec random walks
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Conference talk on stationary distribution and spectral gap of node2vec random walks.
Diffusion speed of the node2vec random walk on networks
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Conference talk on the diffusion speed of node2vec random walks on networks.
Epidemic threshold for metapopulation model networks with a second-order mobility rule
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Conference talk on epidemic threshold in metapopulation networks with second-order mobility.
Spreading processes on metapopulation models with node2vec mobility
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Seminar on spreading processes in metapopulation models with node2vec mobility.
Exploring potential cancer treatment strategies through evolutionary games on cellular networks
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Interior talk on evolutionary games in cellular networks and cancer treatment strategies.
Identification of diagnostic biomarkers for multiple diseases through proteomics analysis in a large cohort
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Interior talk on biomarker discovery using proteomics in large cohorts.
teaching
Mathematical Analysis (Fall 2018, Spring 2022)
Undergraduate course, University at Buffalo, 2018
Teaching assistant for Mathematical Analysis (MTH 431) in Fall 2018 and Spring 2022.
Calculus III (Spring 2019, Fall 2020)
Undergraduate course, University at Buffalo, 2019
Teaching assistant for Calculus III (MTH 241) in Spring 2019 and Fall 2020.
Differential Equations (Fall 2019)
Undergraduate course, University at Buffalo, 2019
Teaching assistant for Differential Equations (MTH 306) in Fall 2019.
Linear Algebra (Spring & Fall 2021)
Undergraduate course, University at Buffalo, 2021
Teaching assistant for Linear Algebra (MTH 309) in Spring 2021 and Fall 2021.
Linear Programming (Fall 2022)
Undergraduate course, King's College London, 2022
Lecturer for the undergraduate course Linear Programming.
Statistics in Metagenomics (Fall 2023)
Graduate course, King's College London, 2023
Lecturer for the graduate course Statistics in Metagenomics.